interpersonal communication research paper

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Peer-reviewed

Research Article

Using interpersonal communication strategies to encourage science conversations on social media

Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft

* E-mail: [email protected]

Affiliation Ocean Frontier Institute, Dalhousie University, Halifax, Nova Scotia, Canada

Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – review & editing

Affiliation School of Information Management, Dalhousie University, Halifax, Nova Scotia, Canada

• Curtis Martin, 
• Bertrum H. MacDonald

• Published: November 10, 2020
• https://doi.org/10.1371/journal.pone.0241972
• Reader Comments

Today, many science communicators are using social media to share scientific information with citizens, but, as research has shown, fostering conversational exchanges remains a challenge. This largely qualitative study investigated the communication strategies applied by individual scientists and environmental non-governmental organizations on Twitter and Instagram to determine whether particular social media practices encourage two-way conversations between science communicators and citizens. Data from Twitter and Instagram posts, interviews with the communicators, and a survey of audience members were triangulated to identify emergent communication strategies and the resulting engagement; provide insight into why particular practices are employed by communicators; and explain why audiences choose to participate in social media conversations with communicators. The results demonstrate that the application of interpersonal communication strategies encourage conversational engagement, in terms of the number of comments and unique individuals involved in conversations. In particular, using selfies (images and videos), non-scientific content, first person pronoun-rich captions, and responding to comments result in the formation of communicator-audience relationships, encouraging two-way conversations on social media. Furthermore, the results indicate that Instagram more readily supports the implementation of interpersonal communication strategies than Twitter, making Instagram the preferred platform for promoting conversational exchanges. These findings can be applicable to diverse communicators, subjects, audiences, and environments (online and offline) in initiatives to promote awareness and understanding of science.

Citation: Martin C, MacDonald BH (2020) Using interpersonal communication strategies to encourage science conversations on social media. PLoS ONE 15(11): e0241972. https://doi.org/10.1371/journal.pone.0241972

Editor: Rashid Mehmood, King Abdulaziz University, SAUDI ARABIA

Received: October 3, 2019; Accepted: October 24, 2020; Published: November 10, 2020

Copyright: © 2020 Martin, MacDonald. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: “Ethical approval for this study was obtained at Dalhousie University, which operates within the terms of the Canadian Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans – TCPS 2 (2018). In compliance with this ethics approval, which assured anonymity and confidentiality to all participants, the original data cannot be made available. As the text of the Twitter and Instagram posts assembled could be searched online and the participants thereby disclosed, de-identifying the social media data is not possible. Similarly, the interview transcripts contain specific information related to the social media practices of each of the communicators, and could be used to identify the individual or organization participants. However, all anonymized aggregate data from the survey, as well as anonymized quotations from the interviews and survey, necessary to replicate the study’s results are within the manuscript and its Supporting Information files.”

Funding: BHM 435-2015-1705 Social Sciences and Humanities Research Council of Canada http://www.sshrc-crsh.gc.ca/home-accueil-eng.aspx The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Human activities—both past and present—are having detrimental impacts on the earth’s environmental systems: fishing practices have forced fish stocks to critical condition [ 1 ], many of the planet’s species are being driven to extinction at an alarming rate [ 2 ], and continuous burning of fossil-fuels has created a global climate emergency [ 3 ]. If these harmful environmental practices are to be mitigated, they need to be managed through policy decisions at the science-policy interface where various actors, barriers, and enablers affect the flow of information from researchers to decision-makers [ 4 ]. Citizens are an important group that interacts with numerous stakeholders at this interface. If citizens are to be effective participants in decisions and solutions to address deteriorating environmental conditions, relevant research information must be communicated effectively to this diverse group. However, this communication is not a trivial activity, as cultivating environmental science literacy has proven to be a major challenge [ 5 – 8 ]. Climate change literacy is often cited to illustrate this challenge; misunderstanding is still widespread among citizens, due to a combination of denial, intentional obfuscation of facts, and personal values taking precedent over scientific information [ 5 , 6 , 9 , 10 ].

Although risks are associated with communicating science via social media (such as being subject to internet trolls and anti-science users [e.g., 11 , 12 ]), the internet and social media provide science communicators with significant opportunities to share policy-relevant information with citizens, as such tools are now the main information source for the public, including for scientific and policy information [ 13 , 14 ]. As of 2019 an estimated 4.4 billion people use the internet, with nearly 3.5 billion active on social media [ 15 ]. The latest statistics show that billions of social media posts are created daily on Facebook, Twitter, Instagram, YouTube, and other social media platforms, and the numbers are increasing [ 15 , 16 ]. Although important barriers to internet access still exist [e.g., 17 , 18 ], new media are generally user-friendly and widely available; simple and quick web searches can break down technical and financial barriers to information, and social media platforms are primarily inexpensive and accessible internationally [ 19 , 20 ]. Virtual communities can be formed online to facilitate public engagement with science, and citizens now have greater opportunity to participate in science communication, bypassing traditional information “gatekeepers” (e.g., scientific journals, popular media, government reports) to aid in information dissemination, and increase public awareness of important scientific issues [ 19 , 21 – 23 ].

Numerous researchers have explored whether relationships exist between social media posting behaviours of communicators and audience engagement [e.g., 24 – 30 ]. Research on this subject has been mainly exploratory to date, with studies covering a range of social media platforms and methods. At present, the results indicate that communication techniques can play an important role in generating audience engagement for both individual and organization communicators, but that science communicators have typically struggled to encourage conversations on social media, particularly with citizens exposed to such information for the first time [ 31 – 33 ]. Some studies have noted that science communicators have given lower priority to strategies that would promote engagement via online conversations [ 34 ]. Researchers have called for further exploration to understand better the challenges of facilitating science conversations on social media, to identify additional means of improving engagement, and to investigate whether communicator strategy and audience engagement patterns persist across communication topics [ 25 , 29 , 30 , 35 ]. In particular, they have called for small scale studies that offer detailed insights that big data approaches are less likely to provide [ 35 ].

This study applied a mixed methods approach to investigate communication strategies and two-way conversation activities of individual and non-governmental organization science communicators on two different social media platforms (Twitter and Instagram). The study triangulated data obtained through qualitative methods to: identify emergent communication strategies and resulting audience engagement; gain insight into why particular practices are employed by communicators; and determine why members of the audiences choose to participate in social media conversations with communicators.

Literature review

Science communication on social media.

The ability to communicate science to a wide variety of audiences is important. Scientific information is often needed for effective policy decisions, and strong science communication can promote the use of relevant information in environmental decisions [ 4 , 36 , 37 ]. Scientific information should be actively shared with citizens. Not only is the majority of scientific research publicly funded, citizens also need access to scientific information to make informed input to decisions on subjects relating to public policy, technological advancement, political preferences, and personal environmental practices, among others [ 26 , 38 – 42 ]. Communicating science to audiences beyond the academic community is increasingly seen as a responsibility of scientists, and is in some cases central to receiving research funding [ 40 , 43 – 45 ].

Scientists have been turning to social media to communicate the results of their research [ 46 , 47 ]. These media are significant because they grant communicators a platform for two-way exchanges with members of the public. Previously, the common and accepted communication model was based on resolving a perceived knowledge deficit to improve public understanding of science [ 48 – 50 ]. In this “first-order” way of thinking it was assumed that citizens lacked knowledge and acted as passive receivers of information. Thus, solely providing people with the necessary information was intended to lead to greater understanding and awareness of public issues [ 48 , 49 , 51 , 52 ]. “Second-order” communication that is reflexive, deliberative, and depends on dialogic, two-way information exchange is now thought to be a better model for sharing information with citizens [ 49 , 51 , 52 ]. This latter model promotes knowledge co-production between researchers and citizens by allowing people to bring their ideas and values to the conversation, and facilitates the formation of trust relationships between researchers and citizens [ 48 , 49 , 53 – 56 ]. A third participation model of science communication has also been proposed in the belief that all involved can contribute to decisions that affect them [ 57 , 58 ]. Social media—including blogs, microblogs, social networks, podcasts, and curatorial tools—offer the potential to facilitate deliberative communications, allowing citizens to participate in research discussions online by responding to information, sharing it with others, and/or creating new science communication resources [ 46 , 59 , 60 ].

Non-governmental organizations and individual scientists as communicators on social media

Social media have become significant to organizational practice [ 61 – 63 ]. Non-governmental organizations (NGOs) in particular have been credited with pioneering the use of social networking tools, prior to their use by government agencies and private companies [ 64 ]. As a result, social media—including Twitter and Instagram—are used by many NGOs around the world. According to a recent report, 77% of NGOs use Twitter, and 50% use Instagram, with the majority posting on both Twitter and Instagram at least once per week [ 64 ]. NGOs of all sizes are reaching large numbers on both platforms with some building massive audiences. For example, Amnesty International has over 1 million Twitter followers ( www.twitter.com/amnesty ), and over 500,000 Instagram followers ( www.instagram.com/amnesty ).

NGOs cite numerous benefits associated with social media use, including fundraising, increased brand awareness, volunteer recruitment, improved event organization, and more effective communications [ 64 – 66 ]. Through social media, organizations can share information, participate in conversations, and build relationships with their audiences [ 65 – 68 ]. Nonetheless, various studies show that NGOs have not fully capitalized on the affordances granted by social media: organizations have typically been found to focus on one-way communication models characteristic of a knowledge-deficit, using social media primarily as a broadcast tool, similar to the practices observed for some government agencies [ 25 , 29 , 68 – 72 ].

Individual scientists have been relatively slow in adopting social media [ 73 – 77 ]. According to a survey by Nature, an estimated 13% of scientists use Twitter regularly, with 50% of those engaging in scientific discussions on the platform [ 78 ]. According to another study, it is estimated that a smaller portion of scientists active on Twitter also use Instagram [ 79 ]. One reason for slow acceptance is that science outreach is often not incentivized for researchers; researchers interested in communication activities are therefore often required to pursue them on a volunteer basis in addition to their professional duties, creating a time barrier [ 79 , 80 ]. Furthermore, scientists—especially those working in government and industry—are sometimes discouraged from open communications [e.g., 81 – 83 ]. In other words, broad and public communication is typically not regarded as a valuable activity for researchers [ 79 ]. There is also evidence that individual scientists avoid communicating via the tools due to a general lack of knowledge on how the tools function, questions surrounding the rigor of scientific discussions on social media, and incorrect perceptions that the tools are ineffective as a means of scientific communication [ 75 – 77 , 79 ].

Numerous studies have demonstrated the strong communication potential that social media provide to scientists [e.g., 84 – 86 ]. Social media afford scientists the ability to build their “personal brand” by communicating their research and other related subjects [ 86 ]. Additionally, social media provide an avenue through which scientists can communicate to the public, which, although not new, is a more common and more requested pursuit for researchers today [ 87 – 90 ]. However, research shows that scientists utilizing social media are mainly sharing research within their own fields, with outreach to the wider public remaining a lower priority [ 75 – 77 , 79 ]. Some scientists also over-emphasize the importance of blogs as a tool for communicating with public audiences; blogs were previously thought to be useful for encouraging dialogues with citizens, but in practice have not been widely successful in reaching non-scientific audiences [ 79 , 91 ].

As illustrated above, science communicators have had difficulty in engaging citizens in two-way conversations on social media, which has led to calls for more innovative/inventive strategies to engage citizens with research, predominantly on subjects linked to important public policy issues [e.g., 92 ]. Furthermore, social media communication strategies often vary among communicators, including individuals and organizations, which affect whether communication is effective [e.g., 69 , 93 ].

This study investigated strategies to engage people with scientific and policy information on social media. Research indicates that social media practices can affect how audience members engage with posts shared by individual and organization communicators [ 31 ]. Therefore, the first research question addressed by this study is:

RQ1: How do individual and NGO communicators approach sharing scientific and policy information on social media, and what particular strategies do they apply in their activity to engage with their audiences?

Furthermore, science communicators have typically struggled to encourage conversations on social media, despite evidence of two-way conversations being more effective for information sharing than one-way transmission [ 32 , 33 , 49 , 51 , 52 ]. Therefore, the second research question addressed by this study is:

RQ2: Do particular social media strategies encourage two-way conversations between science communicators and online audiences, and what characteristics of the strategies encourage communicators and audiences to participate in two-way conversations?

The goal of this research was to identify communication practices that encourage two-way conversations between communicators and citizens on social media. If particular techniques are more engaging, they could be adopted or prioritized by communicators to improve how scientific and policy information is shared on social media, and ultimately enable citizens to participate in decision-making processes.

To address the research questions, the activity of four scientists acting as recognized science communicators using individual Twitter and Instagram accounts and the activity of three environmental non-governmental organizations (eNGOs) using organization Twitter and Instagram accounts to share scientific and policy information were studied. This number of communicators was selected to consider the research questions in a detailed, qualitatively data-rich manner (consistent with calls for such studies; [e.g., 24 ]) rather than be representative of all scientists and eNGOs communicating on social media. This study was conducted with established qualitative research methods appropriate for the sample size of communicators and volume and types of data collected [e.g., 94 ]. This research included: 1) an analysis of public Twitter and Instagram data of each of the seven account holders to identify practices implemented by communicators and resulting follower engagement in two-way conversations; 2) interviews with the individual and eNGO communicators to determine their social media strategies; 3) a survey of audience members involved in two-way conversations to determine why they participate in conversations on social media; and 4) an audience “biography” analysis to determine whether the communicators are engaging a scientific, non-scientific, or mixed audience on social media ( Fig 1 ). Following collection, the aggregated social media data were triangulated to develop thorough understanding of social media strategies used by the communicators.

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https://doi.org/10.1371/journal.pone.0241972.g001

Ethics approval for this study was obtained in the ethics review process established by the Social Sciences and Humanities Research Ethics Board at Dalhousie University. As required by the ethics approval, informed consent was obtained from the participants prior to the interviews and the survey. The social media data collection complied with the Terms of Service for both Twitter and Instagram. Twitter was selected for this study because it is actively used for science communication and has been studied to a greater extent than other platforms [ 35 , 75 – 78 ]. Instagram was selected because it is a newer platform, and fewer studies on the potential of Instagram as a science communication tool have been completed to date [ 35 , 78 ]. Studying usage of the two platforms, which offer different features, allowed determining whether the communicators were consistent in their application of social media strategies.

Account identification

Following the requirements of ethics approval, all of the participants were treated anonymously. The four individual scientists are located in four countries in North America and Europe. These scientists were chosen from The SciCommunity, an Instagram community that uses social media to make science, technology, engineering, arts, and mathematics more accessible ( instagram.com/thescicommunity ). The individual communicators were selected based on the order in which they joined the community. Beginning with the earliest community members (i.e., most established communicators), scientists who use personal Twitter and Instagram accounts to communicate primarily in English frequently each week, with accumulated 10,000 followers or more (Twitter and Instagram combined), were invited to participate in the study. Invitations were extended until four communicators agreed to participate in the study. The three eNGOs, also with many thousands of followers, were selected for their focus on sharing environmental information on Twitter and Instagram regularly each week, and for the scale of the organization (one local, one national, and one international). Invitations were extended to eNGOs that met the criteria until three agreed to participate in the study, Environmental NGOs were studied due to their growing role as science communicators to diverse audiences [ 63 , 95 ].

Social media data collection and coding

Publicly available Twitter and Instagram data posted by the seven communicators were collected for four weeks from July 30 to August 26, 2018, including all Twitter posts (TRPs), Instagram posts (IGPs), Instagram stories (IGSs), and all associated TRP and IGP comments. As this study followed a largely qualitative approach to investigate the social media practices of the communicators, one month was judged to be sufficient for analysis and triangulation with the interviews. During the interviews (see below), communicators were asked to focus their responses on their most recent social media activity. Twitter posts were collected once per day using the desktop version ( twitter.com ) one week after they were posted to allow time for audience engagement (from August 6 to September 2, 2018). A screenshot of the TRPs recorded the date/time of posting, captured images, and preserved a “snapshot” of the content and engagement. In the case of multiple Twitter posts together (i.e., a thread), the posts within a thread were captured and treated as a single post, unless posts occurred over multiple days.

Instagram posts were collected from the desktop version ( instagram.com ) in the same manner as TRPs. Instagram stories were collected twice daily to ensure none were missed (as stories expire after 24 hours). Screen capture software was used to record the video and audio associated with each IGS post. Each set of stories was saved as a video file and the stories were separated into threads based on the time between posting and topic continuity. Engagement data from IGSs are not public and were not captured.

The Twitter and Instagram data were organized in spreadsheets for statistical analysis in Rstudio version 1.1.456. For the TRPs, five spreadsheet files were created: original content, comments, handles, names, and reply type (response from the original communicator vs. a secondary social media user). The content files contained two columns—post caption data, and hashtag data—with each row representing a unique post. The other files were organized similarly, with each row containing data on either comments, handles, names, or reply types associated with a unique post. This process was used for IGPs, but only for original content, comments, and handles were created, as data for names and reply type are not recorded within Instagram posts. Each TRP, IGP, and IGS was categorized for the content characteristics [ S1 Table ] using codes based on topics listed as central to the goals of organizations, and the Instagram description for The SciCommunity. Because the Instagram story data were recorded in audio/visual formats, rather than text, the IGSs were only subjected to content coding. In total, 840 social media posts and 1399 comments were collected and analyzed.

Text analysis

The Twitter and Instagram post captions were subjected to text analysis using Linguistic Inquiry and Word Count 2015 (LIWC2015) software, which was used to identify the percentage of personal pronouns used in social media posts by the communicators, as such pronouns can affect how interactions between communicators and their audiences are perceived [ 96 ]. LIWC has been validated and used in numerous published research studies [ 75 , 97 ]. English and non-special character data in the text captions posted by each communicator were analyzed as a single dataset, aided by Excel. The analysis was conducted separately for the Twitter and Instagram data for each communicator. Individual and eNGO scores were aggregated, as both communicator groups were analyzed under the same conditions.

Interview data collection and analysis

The owners or representatives of the seven accounts were invited via email to participate in semi-structured interviews and to maintain anonymity were randomly assigned a code (e.g., IND1 for an individual scientist or ORG1 for an eNGO). The interview questions were designed to investigate how the communicators viewed their use of social media generally, along with their goals/objectives, their posting strategies, and their participation in social media conversations. The interviews, conducted by phone or Skype, were audio recorded. The interviews were transcribed verbatim and subjected to three rounds of coding, following established analysis processes [ 98 – 100 ], to draw out the themes from the textual data: an initial round to determine specific codes for each relevant interview response, a second round to create broader grouping of associated codes into categories, and a final round to restructure categories into overarching themes of all interviews. In the initial round, coding was conducted by one researcher, followed by a second researcher. The coding was compared and where discrepancies occurred, the researchers discussed the variations and resolved the differences. In subsequent rounds as the themes were drawn from the underlying coding, the second researcher reviewed the theme extraction to ensure consistency of application.

Survey data collection and analysis

An online survey, open from September 10 to October 31, 2018, was administered using Opinio software to query engaged users about their participation in two-way social media conversations. Individuals who posted English comments in two-way conversations on Twitter or Instagram posts of each of the accounts were invited to complete the survey. The participants were invited if they were involved in a conversation with a) one of the communicators in the study, or b) another user who commented on a communicator post. A two-way conversation was defined as a comment that received at least one response, with both the commenter and respondent invited to complete the survey. Accounts that were deleted or changed to a different “handle” by users before invitations were sent out, accounts that did not belong to individuals, accounts that were obvious trolls/bots (based on their social media profile and/or comments), and the seven accounts of the individual scientists and eNGOs in the study were excluded. A total of 425 conversationalists were invited to participate in the survey via either Twitter or Instagram (i.e., the platform in which a conversation occurred) using a unique comment that tagged the individual in a Twitter or Instagram post and asked to follow a link that directed them to a webpage containing the survey link. When users conducted conversations on posts of more than one of the accounts in the study, random selection was used to decide which account the user was contacted about. The participants were treated anonymously and limited to completing the survey once. The quantitative data were subjected to descriptive statistical analysis, and the free text responses were coded for content themes.

Audience analysis

The Twitter and Instagram biographies of the individuals invited to complete the survey were analyzed statistically with the aid of Rstudio version 1.1.456 to determine if they self-identified as scientists on social media. The individuals were classified as scientists if their biography mentioned science or science disciplines (e.g., neuroscientist, biochemistry), or if their social media profile pictures clearly depicted them as scientists.

Because the aim of this study was to investigate the relationship between communication techniques and audience engagement, particularly two-way conversations across Twitter and Instagram, analysis of the activity data from the two social media platforms, the interviews, and the survey text responses and demographic information were integrated for each communicator in the presentation of the results. This approach triangulates each communicator’s social media practices (both their views about their strategies and actual practices) with audience engagement, while highlighting similarities and differences in the strategies and engagement between each communicator and as either an individual communicator or eNGO. Because this study connects the application of strategies and resulting engagement throughout the social media activity of the communicators, social media data were analyzed in aggregate (i.e., strategies and engagement across all posts), rather than on a post-by-post basis.

Three strategy filters

The interviews and the Twitter and Instagram data show that the two communicator groups utilize three types of “filters” to guide their posting activity. First, the seven communicators operate within implicitly accepted social practices on each platform (i.e., platform conventions). Second, the two communicator groups apply specific activity strategies related to posting frequency and type of media used in posts. Third, the seven communicators implement interpersonal communication strategies in their posts. These three filters are implemented in a hierarchical manner, that is, the activity strategies are applied according to platform conventions, and the interpersonal strategies are applied in accordance with both the activity strategies and platform conventions. Interpersonal communication and strategies emerged as important characteristics of the communicators’ social media activity. Interpersonal communication has been the focus of extensive research [ 101 – 104 ]. The succinct definition by Braithwaite, Schrodt, & Carr [ 105 ], “interpersonal communication is the production and processing of verbal and nonverbal messages between two or a few persons,” is pertinent in this study as this definition accounts for communication centred on individuals, focused on interactions involving exchange of messages, and on development of relationships between the participants. As is shown below, the strategies that communicators implemented to promote interpersonal communication gave attention to one or more of these aspects.

Platform conventions

The interviews with the seven communicators show that accepted social media conventions play an important role in dictating the techniques applied by them, as they recognize that adherence to the common platform practices that have emerged over time will ensure their posts remain consistent with the expectations of social media users. The communicators expressed similar views of how they plan and implement strategies based on the platform conventions. For example, all of the communicators noted that Twitter tends to attract a more educated and/or issue-cognizant audience seeking news-centric information, and that Instagram draws a larger general/non-scientific audience interested in more personal multimedia posts, and therefore the seven communicators post accordingly to meet audience expectations (e.g., “You can share photos on Twitter, but it’s more visible and accessible on Instagram” (IND 4 interview)). Additional strategies applied by the communicators (discussed below), are implemented in compliance with implicit platform conventions.

Activity strategies

The individual and eNGO communicators implement particular strategies related to post frequency, platform priority, and media type used in posts—hereafter referred to as activity strategies—although with some variability. The eNGOs strive to post at regularly scheduled intervals, while maintaining flexibility to react when necessary. For example, one eNGO representative stated: “[we’re] doing as much planning as possible, but trying to leave in the flexibility to react when there is a more timely or necessary content need” (ORG2 interview). This approach allows the eNGOs to present well-researched information that is backed by evidence, while still giving the organizations an opportunity to share topical content and participate in social media “conversations” regarding breaking news or unexpected events related to their work (e.g., an interesting animal encounter during field work). In practice, ORG1 and ORG3 post on social media about 20 times/week ( Fig 2 ). ORG2, however, posts on Twitter and Instagram much more frequently, at a rate of >120 times/week ( Fig 2 ), because it “seems to be the most effective” for encouraging engagement (ORG2 interview). The individual scientists post in a less scheduled manner than the eNGOs, mainly when they feel inspired to do so. IND3 and IND4 post at similar rates to ORG1 and ORG3 (about 20–25 times/week), but IND1 and IND2 less than 10 times/week ( Fig 2 ). The individual scientists indicated that frequency is not as important as quality. They typically share based on more mentally “dynamic” factors (e.g., creativity, curiosity, inspiration, interest), and consequently do not feel motivated to post at high frequencies, which the individuals find to be overexerting or time consuming. As one communicator said, “I’ve kind of come to the point where it’s best for me just to post when I like, when [it] suits me best” (IND4 interview). Although the individual scientists did not discuss whether posting at high frequencies is an effective engagement strategy (other than ensuring the time between posts is not excessive, e.g., weeks), they did mention that they believed that the excitement/passion they are able to convey based on inspiration can be quite engaging for their audience.

Colours indicate the platform distribution of Twitter posts (TRPs), Instagram stories (IGSs), and Instagram posts (IGPs).

https://doi.org/10.1371/journal.pone.0241972.g002

The communicators decide which platform they use based on a mix of platform affordances and level of engagement received. However, the eNGOs and individual scientists do not prioritize the same platforms, in regard to intended strategies, or how they are translated into practice. ORG2 prefers Instagram over Twitter, as Instagram is seen as more aligned with the organization’s overall goals: “our preference, or our top performing platform I should say, has been Instagram … it’s still at a point of very rapid growth and evolution in terms of the functions or things you can and can’t do on the particular platform. So that’s lent itself to being a top performer” (ORG2 interview). ORG1 and ORG3 do not have expressed platform preferences. Nevertheless, based on actual post frequency, all three of the eNGOs prioritize Twitter over Instagram, sharing most of their posts (67–76%) on Twitter ( Fig 2 ). For ORG2, this practice is not consistent with the stated platform preference noted during the interview. All three of the individual scientists said they prefer Instagram—especially IGSs. For example, IND3 emphasizes posting on Instagram because that is “where [my] biggest audience is,” while also noting the importance of functionality: “I love how many dimensions there are to using Instagram. You can do pictures, you can do posts, you can do videos and stories, you can live stream. It’s so … versatile in how you can use it that it’s been incredible as a creator” (IND3 interview). The actual post frequency corroborates the interview responses of the individual scientists, as 69–85% of all their social media posts were shared on Instagram, particularly IGSs, with 50–77% of all posts shared via IGSs ( Fig 2 ).

All of the communicators post text, images, and videos in accordance with platform conventions. The two groups of communicators use media types (text, images, and video) in a similar proportion of posts, but the individuals use text differently. Both the individuals and the eNGOs include text in all posts, images in the majority of posts (56–98%), and videos in a smaller fraction of posts (2–36%) ( Fig 3 ). However, on Instagram, where the character limit is 2200 for each post, the individuals post an average of 244 words/caption, whereas the eNGOs use fewer words (an average of 102 words/caption) ( Table 1 ). On Twitter, where the post length is more limited (280 characters), all communicators post a similar average of words/caption (28 for eNGOs and 30 for individuals) ( Table 1 ). In addition, none of the individual scientists use Twitter to share videos, whereas two of the three eNGOs do ( Fig 3 ).

Proportion of social media posts by individuals and eNGOs containing A) images, and B) videos/GIFs, July 30-August 26, 2018. Colours indicate the relative proportion of posts with images or videos/GIFs in the TRPs, IGSs, and IGPs.

https://doi.org/10.1371/journal.pone.0241972.g003

https://doi.org/10.1371/journal.pone.0241972.t001

Interpersonal strategies

The seven communicators all noted in their interview responses that they aim to integrate interpersonal strategies into their social media activities. Some of these strategies are non-conversational, resulting in no direct interactions between the communicators and audience members. Six of the communicators stated that humanizing social media content is important for establishing personal connections with audiences. To humanize their organizations the representatives of ORG1 and ORG3 stated they display images of scientists or other staff members in posts. As one eNGO representative said, “It’s good for people to get to know who… the researchers or advocates are behind each of the stories and who’s working on them and why. I think [that’s] useful for people… that human aspect is important, and… giving people a chance to get to know who’s behind the controls is a good thing” (ORG1 Interview). However, the ORG1 and ORG3 representatives also stated that posting selfies and humanizing their organizations is one of their biggest social media challenges, particularly as the organization staff are often not willing to be seen in social media photos/videos, and because the organizations employ multiple staff members to create content for social media (ORG1 and ORG3 Interviews). In practice, ORG1 and ORG3 include selfies in a small fraction of their posts (14% and 15% of posts respectively), whereas ORG2 does not post any selfies on social media ( Fig 4 ).

Colours indicate relative proportion of posts with selfies in the TRPs, IGSs, and IGPs.

https://doi.org/10.1371/journal.pone.0241972.g004

Selfies are a key means of humanizing the individual scientists since displaying their faces allows people to become comfortable with them. The individual scientists stated they use selfies to convey authenticity and to encourage/invite their audience to engage with them. As IND3 said, “I do try to be the most honest version of myself that I can display,” which “is important because it helps people to understand and also care about what you’re communicating” (IND3 interview). Similarly, IND2 noted: “that’s why I like to film in a selfie mode, because also it… puts a face on a scientist. People like to connect with other people” (IND2 interview). IND1 also expressed a similar view: “that’s one hundred percent to be human… even if you post a photo with your science, or with your code, or whatever… I think even in my facial expressions I try to make it about inviting people in” (IND1 interview). Selfie strategies are evident in the actual posting activity of the individual scientists, who collectively utilize selfies far more frequently than the eNGOs, incorporating selfies into more than 30% of posts ( Fig 4 ). Additionally, selfie-style videos are important for the individuals, who noted they speak directly to their camera to convey a sense of talking directly to their audiences. The individuals believe these videos are especially effective for communicating on a personal level and establishing communicator-audience relationships. For example, IND3 explained how selfie-style videos feel very authentic and conversational:

I think video content, especially… a selfie-style video… feels pretty intimate actually. It feels like you’re having a one-on-one conversation, and it really helps… to build relationships with the audience. Because it feels very personal to have someone speaking right to you via the phone in your hand. (IND3 interview)

Selfie-style videos are commonly implemented as a strategy by the individual scientists, as a substantial proportion of their video posts (38–67%) include selfie-style audio ( Fig 5 ). In contrast, the eNGO communicators rarely use selfie-style audio in their video posts (5–7%), generally opting for no audio at all, or music-based audio ( Fig 5 ).

*Two or no videos posted (IND2 and ORG1).

https://doi.org/10.1371/journal.pone.0241972.g005

In addition to practices to humanize their social media activity, the communicators used non-conversational interpersonal communication strategies linked to the social media topics of their posts. Educating audiences through social media is an important goal of the eNGOs, and they give particular attention to the manner in which education is conducted. They emphasize a two-way model, rather than a top-down approach where information only flows from communicator to audience. For example, ORG1 pointed out: “I don’t know if it’s ‘teaching’… We don't want to be talk ‘down-y’” (ORG1 interview). The eNGOs also try to balance “heavier” educational/scientific content with “lighter” topics—such as posts focused on funny/interesting animals—and they use metaphors to make science content more accessible for their audiences. Similarly, the eNGOs stated they aim to make the content fun and interactive by presenting compelling information and mixing in humour. In addition, the eNGOs aim to build trust with their audiences by ensuring all of their posts are backed by scientific evidence. Overall, the social media activity shows that the eNGO communicators post consistently on topic (only an average of 9% of eNGO posts were off-topic, i.e., not clearly linked to the organization’s goals or mission, Fig 6 ), deciding to include entertainment and humour in posts topically linked to the organization’s goals/mission.

Colours indicate the relative proportion of off-topic posts in the TRPs, IGSs, and IGPs.

https://doi.org/10.1371/journal.pone.0241972.g006

Similar to the eNGOs, the individual scientists exercise two-way communication practices to avoid talking down to their audiences and to balance the educational component of their social media activity with lighter content such as humour and entertainment. One individual emphasized this sentiment, describing the educational component as “teaching, but with an engagement model… helping people to engage with educational content” (IND3 interview). However, in contrast to the eNGOs, the individual scientists mainly balance the content by including personal social media topics—such as daily activities that might be unrelated to science—and expressed a clear intention to post personal content using IGSs. For example, IND1 discussed how posting personal content on IGSs helps to portray scientists as people, i.e., regular individuals who have interests outside of science:

I think that Instagram stories humanize [science] more than anything else. Just because they’re quick, they don’t have to be high quality… Sometimes [content is] not exciting enough to warrant a whole post on Instagram, but you know, people like seeing it on the stories. Because it’s a way for them to check in with me, and like, what I am doing between posts. (IND1 interview)

The individuals also focus on expressing emotions in their post topics, and try to authentically display themselves, and scientists more generally, as warm, kind people as opposed to strictly knowledge experts absent of approachable qualities. In addition to ensuring their posts are all evidence-based (a strategy emphasized by the eNGOs as well), the individual scientists work to establish personal connections with their audiences in order to build trust. In highlighting use of selfie-style videos, IND3 said, “Recording an off the cuff video just kind of… confers some level of honesty. Because it’s you just free stream talking as if in conversation. And so, I try not to overly produce anything. Because I want people to see… we’re just talking, this is not so serious. We’re just having conversations, let’s delve in” (IND3 interview). The social media data demonstrate that the individual scientists share a larger proportion of off-topic posts than eNGOs (an average of 32% of posts were off-topic), many of which are about everyday activities ( Fig 6 ). The text analysis of social media posts via LIWC shows that individual scientists also use more first person personal pronouns in their posts than the eNGO communicators; 3.4% and 5.1% of words in captions posted by the individuals on Twitter and Instagram respectively were first person pronouns ( Table 1 ). In comparison, the eNGOs used such pronouns less frequently (2.1% of words on Twitter, 1.5% of words on Instagram).

The seven communicators also implement interpersonal communication strategies via two-way conversations with their audiences. The eNGO communicators stated that they prioritize responding to audience comments on their posts, especially when people ask questions. The eNGOs also put calls to action (such as requests for audience members to sign petitions or join meetings) and/or questions in their posts, and endeavour to make their posts captivating, all designed to encourage audience members to participate in social media conversations. In addition, the eNGO communicators view two-way conversations as an opportunity to establish personal connections with their audiences and form communicator-audience relationships. For example, ORG2 said that “it’s difficult to build that relationship without having a conversation. So… enabling the opportunity to interact one-on-one with the individual… [is an occasion] to be able … to take that next step in that relationship” (ORG2 interview). Nonetheless, the eNGO communicators did not particularly feel they have been successful in forming communicator-audience relationships, as noted by ORG1: “I don’t feel like I have much of a personal relationship with the followers, no” (ORG1 interview). While the eNGO representatives stated that engaging with audience members was important, in practice, ORG1 and ORG2 respond to few, if any comments (responding to less than 1% of comments per post) ( Fig 7 ). Although ORG3 responds to about 8% of comments per post, it still does so much less frequently than all individuals (who responded to an average of 15–34% of comments per post).

Colours indicate the relative proportion of comments responded to on TRPs and IGPs. Numbers on top of bars indicate the total number of comments responded to during the study period.

https://doi.org/10.1371/journal.pone.0241972.g007

In the interviews, the four individual scientists also discussed interpersonal communication strategies via two-way conversations with their audiences. They prioritize responding to audience comments (particularly questions), put calls to action and/or questions in their social media posts to encourage a conversations, and strive to establish personal connections with their audiences and form communicator-audience relationships via two-way conversations. This view was obvious in a statement by IND3: “A lot of the time we’re just building relationships, we’re laughing. I’ll post something funny, and someone will reply… Further, it’s important for me to let people know that scientists do care about them… We care about individuals more than people realize… So it’s important for me to address people’s concerns, and talk with them, and share with them information that they’re curious about” (IND3 interview). In practice, the individual scientists respond to a substantially larger proportion of audience comments than the eNGOs (15–34% of comments per post ( Fig 7 )). The individual scientists also highlighted that they have been able to form communicator-audience relationships through their social media activity, as evidenced by a comment by IND4: “Yeah, [meeting up with an audience member in person for the first time] was great. It was weird in the fact that it wasn’t a complete stranger. So although it was the first time that you met them, you were talking to them like you had known them for ages” (IND4 interview). One individual scientist noted that although typical conversations on posts might be short, the conversations can extend beyond single posts once communicator-audience relationships are formed:

Oh my gosh, they’re ongoing. They’re very ongoing. There are many examples of people messaging me to ask for advice … and [they] almost always follow up. So I had one woman applying to a … program, and we actually even met in person because she happened to be visiting, and we exchanged some advice and conversation. And a year later she followed up and let me know she got into the program … and we had been chatting in the interim, but not so much. But many times people will follow up and let me know how it went, and say thank you, and say, “Oh I also learned this, you can tell people that next time” … So now we’ve turned a one-time interaction into a long-term resource, which I think is cool. (IND3 interview)

In contrast, the eNGO communicators noted during interviews their intention to build relationships with audience members through social media, but did not indicate that they had been successful in doing so.

Audience engagement on communicator posts

Triangulation of the social media and survey data was carried out to understand why audience members decided to engage with social media posts shared by the communicators. The individual scientists receive more conversational engagement than the eNGOs, that is, the individuals receive more and longer comments, and generate a larger number of direct interactions with unique conversationalists ( Table 2 ). The individuals receive 20–42 comments/post/10,000 followers on Instagram, and 0.8–60 comments/post/10,000 followers on Twitter whereas the organizations receive 1–4 comments/post/10,000 followers and almost no (0.05–0.4) comments/post/10,000 followers on Instagram and Twitter, respectively ( Table 2 ).

https://doi.org/10.1371/journal.pone.0241972.t002

Comments on the individual scientists’ posts ranged from 11–26 words in length on Instagram and 9–26 words on Twitter ( Table 2 ). In contrast, comments on the eNGO communicators’ posts ranged from 5–7 words on Instagram and 2–15 words on Twitter ( Table 2 ). Although the total number of unique conversationalists varied across the two groups and platforms ( Table 2 ), an average of 74% and 85% of unique users interacted directly with the individual communicators on their Twitter and Instagram posts, respectively (although IND1 on Twitter was far lower than the other individuals). An average of 30% of unique conversationalists interacted directly with the eNGO communicators on their Twitter posts, and an average of 23% did so on Instagram posts ( Table 2 ).

Although direct message data were not collected (this information is not public in either Twitter or Instagram), all of the communicators indicated during the interviews that direct message engagement does not occur more frequently than comment engagement. Furthermore, although the eNGO communicators engage a majority non-scientific audience (0–22% of conversationalists across Instagram and Twitter were identified as scientific users), the individual scientists reach a mixed audience consisting of both scientific and non-scientific users–particularly on Instagram–with 42–67% of conversationalists identified as scientific users on Instagram, and 44–100% identified as scientific users on Twitter ( Table 2 ). While mixed, scientists constitute a large proportion of the audience of the individual communicators.

The survey of conversationalists yielded a response rate of 10% (45 out of 425 invited to complete the survey). Most of the survey respondents were engaged on posts of the individual scientists (five on Twitter and 33 on Instagram), and seven were engaged on posts of the eNGO communicators (all from Instagram). The majority (62%) of respondents who identified their age were between 19–33 years old, with a smaller proportion (16%) aged 5–18 and 34–49 combined ( Table 3 ). Only two of the survey participants were 50 or above. Most of the survey respondents who revealed their gender identified as female (82%) ( Table 3 ). The respondents were also highly educated and science-associated overall: 83% of respondents had some level of post-secondary education, and 80% consider themselves part of the scientific community ( Table 3 ). Although the majority of survey participants were well educated and science-associated, many users who participated in conversations on the posts of the science communicators were not scientists, especially those engaged with eNGO posts ( Table 2 ).

https://doi.org/10.1371/journal.pone.0241972.t003

Some survey participants provided open text responses that explained why they engage in conversations on posts of the communicators, frequently expressing personal sentiments (emotional connections to the communicator and/or their posts) in their responses, rather than focusing on education or links to science. Those who prefer to engage in conversations on Twitter do so due to its short message length and focus on news/relevant information ( Table 4 ). The participants who expressed a preference for Instagram drew attention to its visual nature, its communication features, and its ease of use/functionality ( Table 4 ). Regardless of platform preference, the most cited reasons for using Twitter related to the participants’ work and their seeking news/information. In contrast, the participants use Instagram because of the platform’s visual nature, and for personal reasons such as self-expression, relationship-building, and connecting with friends/family ( Table 5 ). Personal sentiments also emerged when the respondents wrote about their motivation for following particular accounts. Although they follow the communicators to receive new information, many also do so because they find the communicators (or the content) to be relatable ( Table 5 ).

https://doi.org/10.1371/journal.pone.0241972.t004

https://doi.org/10.1371/journal.pone.0241972.t005

A theme that emerged from all survey responses was the participants’ sense of personal connection with the communicators, which encouraged participation in conversations, particularly on Instagram, which the participants viewed as a more personal social media platform compared to Twitter. For example, one participant stated: “it seems personal and engaging (photos and captions) but without the threat of things getting out of hand or out of context like on Twitter.” The survey respondents also noted that Instagram is quite conducive to communication, illustrated by the participant who stated: “I’m most active on Instagram and it’s easy to make and respond to comments, posts, and stories.” When the respondents commented about their decisions to engage with the communicators, many (12 out of 19) did so in terms of personal connections, perceived authenticity of the communicator, and feeling that they knew the owner of the account ( Table 5 ). For example, one wrote, “for me it is easier to contact a person instead of an organization with 'unknown faces' behind it.” Another respondent described a sense of comfort in interacting with organizations that are comprised of known individuals, “I use social media for work so I know there are ‘individuals’ behind the organization… However if I didn’t know the organisation, then I would be less likely to reply.”

When queried about establishing relationships with the communicators, 24 respondents added explanations, and 13—both those that do and do not feel that they have formed relationships with the communicator—commented specifically about two-way conversations. One did not feel an opportunity to form a relationship was presented, because direct interactions had only occurred with other users, not the communicator: “I don't think [the communicator has] ever responded to anything I've said on their post, responded to one of my posts, or anything of the like. It's impossible to feel any link if it's not reciprocal.” In contrast, those who formed relationships emphasized the dialogic interactions: “we have commented back and forth to each other as well as [direct messaged] in the past!” Two others expressed similar comments: “we talk in private as well as I do with my friends”; and: “I often message [them] if I need to know anything about being in academia, because I am new to it and [they are] really helpful.” One respondent also stressed that the way posts are presented on social media is crucial, and can result in a relationship-type connection in the absence of direct interactions with the communicator:

We don’t talk, but their welcoming demeanor and friendliness makes learning science personal. It feels like engaging with a friend. Their method of communication makes science a more fun and accessible conversation. You feel like you are involved, and you can always put forth your input without judgement—something that is super important because science can appear condescending to a lot of people. It’s constant learning and that’s all that matters.

Recognizing that social media provide a means of two-way interactions—which research suggests are crucial for effective communication [ 33 , 34 ]—individual scientists and NGOs are increasingly using social media platforms to communicate with their audiences and promote science literacy [ 46 , 47 , 68 , 75 , 106 ]. However, individual and NGO communicators have had difficulty fostering two-way exchanges with their audiences on social media [ 33 , 106 ]. With evidence that the way in which communicators use social media plays an important role in determining audience engagement [e.g., 31 ], this study investigated how individual and NGO communicators approach sharing scientific information on social media, and the strategies they apply to engage with their audiences (RQ1).

The individual and eNGO communicators in this study implement three strategy “filters” in a hierarchical manner to guide their posting activity. First, both communicator groups follow implicit platform conventions when sharing posts on social media. All of the communicators follow a similar approach to ensure their posts are consistent with audience expectations, for example, focusing on more news-centric content in Twitter posts (TRPs), and more visually interesting content in Instagram posts (IGPs).

Second, both of the communicator groups are intentional in how often they post on the social media platforms, as well as in the types of media they use in posts. This activity “filter” is applied differently between the communicator groups. For example, the eNGOs implement a more scheduled approach, typically posting frequently, at regular intervals, and mainly on Twitter. In contrast, the individual communicators are more flexible in how often they post, and share information mainly via Instagram, particularly Instagram stories (IGSs). However, the activity strategies applied by the communicators do not link directly with conversational engagement on their social media posts. When comparing proportional engagement between the communicators (normalizing engagement to the number of followers for each communicator), ORG2—which posts far more frequently than the other communicators—receives fewer comments than the other communicators, and is in conversations with fewer unique users. IND1 and IND2 post less frequently than the other communicators, but they do not receive lower engagement with regard to user comments or unique conversationalists. A link between media type used (frequency of text, images, videos) and conversational engagement is also not obvious. Furthermore, a connection between the platform given priority in practice (i.e., the platform posted to most frequently) and conversational engagement is not evident, as all of the eNGOs receive more engagement on IGPs than TRPs despite posting more frequently on Twitter than Instagram.

The data in this study show that the implementation of interpersonal social media strategies by the communicators (i.e., the third strategy “filter”) encourages conversational engagement (RQ2). The next section discusses the characteristics of interpersonal strategies that encourage communicators and audiences to participate in two-way conversations (RQ2).

Interpersonal communication strategies and social media engagement

A variety of interpersonal communication strategies have been demonstrated to affect social media engagement [ 62 ], many of which are used by both the individual and eNGO communicators. For example, both the individuals and eNGOs actively invite people to participate in conversations on their posts, which is important because this approach encourages engagement, an opportunity that would otherwise be missed [ 25 , 62 , 107 ]. However, the individual scientists more comprehensively implement interpersonal communication strategies. First, the individuals post selfies and selfie-style videos more frequently than the eNGOs. This difference is noteworthy for engagement, as social media users are more willing to comment on posts by communicators whom they know, and more likely to initiate conversations with communicators who are familiar to them [ 26 , 29 , 69 ]. Furthermore, previous research shows that speaking directly to social media audiences through the camera—as is common practice for the individuals in selfie-style videos—can personally connect communicators with audience members and help to build trust and establish communicator-audience relationships, even in the absence of direct communicator-user interactions [ 27 , 84 , 108 , 109 ]. In addition, research on interpersonal communication has shown that this form of communication entails establishing relationships among the participants [ 105 ]. The results of this study support the link between selfie-style posts, two-way conversations, and communicator-audience relationships, as the individual scientists receive more engagement than eNGOs overall, and successfully formed relationships with their audiences, even in the absence of direct interaction (as corroborated by the survey responses). The frequent use of selfie-style image and video posts appears to be an effective strategy to build trust, establish communicator-audience relationships, and stimulate discussions of science on social media, which science communicators could implement to encourage effective science communication.

The expression of interpersonal sentiments in posts is also important for social media engagement, as recent research suggests that content characteristics affect engagement. For example, when users see social media posts similar in nature to their own, they are better able to connect with the content on a personal level and engage with it [ 28 , 30 ]. Although both communicator groups discussed strategies to make their social media content more relatable, the individual scientists receive more engagement in terms of two-way conversations than eNGOs overall, which may be because the former choose to focus on posting personally-relatable content. When the individual scientists post off-topic content such as day-to-day activities and frequently use first person pronouns in posts, they create relatable, shared stories that are thought to be key for audience engagement [ 26 , 110 ]. In fact, posts with a personal sentiment or message (including those without any science content) can surpass scientific posts in terms of engagement, even on science-focused accounts [ 107 ]. A link between engagement and personal content was evident in the survey responses, which showed users choose to follow communicators with whom they can relate. The results of this study suggest that the use of personal and relatable social media content promotes more two-way interactions in social media with science communicators than would otherwise occur.

Previous studies show that using two-way conversations to form communicator-audience relationships is important for social media engagement. Two-way conversations can result in personal connections between users and organizations, and cultivate positive organization-public relationships, which are crucial because organizations often have difficulty in retaining engaged users on social media [ 62 , 111 – 113 ]. However, the means through which relationships are formed between organizations and users on social media goes beyond direct interactions, as research shows that a significant number of users are influenced by the interactions they see online. When communicators engage with an individual, they are indirectly affecting relationship perceptions for others who observe the interaction, even when no direct communication takes place with the latter [ 114 ]. Additionally, the survey responses demonstrate that communicators are capable of establishing relationships with audience members through the use of personal sentiments even in the absence of direct interactions. Therefore, because the eNGOs currently respond to a smaller proportion of audience comments compared with the individual scientists, the eNGOs engage in fewer two-way conversations and therefore may be more limited in their ability to form communicator-audience relationships than individuals. This outcome is supported by this study: two-way conversations between individual communicators and audience members resulted in the establishment of communicator-audience relationships, whereas the eNGOs communicators were less successful in forming relationships with their audiences. Furthermore, because more conversations can result when communicators form relationships with their audiences (as discussed above), two-way conversations and communicator-audience relationships appear to be mutually reinforcing. Consequently, focusing on responding to audience comments to form communicator-audience relationships is likely an effective strategy to create sustained social media engagement between science communicators and their audiences. One of the individual scientists emphasized that conversations are not limited to individual posts; instead, when communicators establish relationships with their audiences, the relationships allow conversations to extend beyond a discrete instance, and into a larger, ongoing conversation. Therefore, science communicators will benefit by being responsive to social media comments and working to establish communicator-audience relationships in order to facilitate longer-term, ongoing conversations about science [ 115 ].

Non-scientific audience engagement

Both the individuals and the eNGOs stated that they specifically target non-scientific audiences with their social media activity (although the communicators do not limit their audiences to non-scientific users alone). In the interviews, all seven communicators pointed out that they generally use Instagram to reach non-scientific audiences, as they feel the platform attracts a larger population of non-scientific users than Twitter. Studies have shown, however, that the educational distribution of users on Twitter and Instagram is relatively similar [ 116 , 117 ]. The apparent mismatch between the perception of the communicators and subscriber base of the two platforms may be due to the topics of focus by the communicators on social media and the audiences that they have built. To date, scientists have typically been heavier users of Twitter than Instagram, and because the communicators post an abundance of science-based content [ 78 , 79 ], they may attract more scientists via Twitter than Instagram. Furthermore, education level does not necessarily equate to science literacy. In this study, all of the communicators except IND1 appear to engage a larger proportion of scientific users in conversations on Twitter than on Instagram. Moreover, a higher proportion of users in conversations on posts by the eNGOs are non-scientific compared to the individual scientist communicators. This result is likely a consequence of the differences in target audiences, topics, and social media goals among the communicators indicated during interviews. Nonetheless, the individual scientists engage a mixed (scientific and non-scientific) audience on social media, particularly on Instagram. Therefore, as this study shows, focusing on Instagram as a platform to reach non-scientific audiences for science conversations could be an important science communication strategy.

Interpersonal communication afforded through Instagram

Determining the extent to which Instagram fosters social media engagement is another informative outcome in this study. Not only did a greater number of two-way conversations take place on Instagram than Twitter for nearly all of the communicators (including the eNGOs that do not prioritize the platform in practice), Instagram was favoured by the communicators and survey participants for conversation-related uses overall, particularly illustrated by their understanding of accepted social media practices. The visual, informal, multi-functional, cordial, and multimedia-focused nature of Instagram (both posts and stories) contributes to it being a more conversational platform than Twitter. Science communicators could capitalize on this functionality of Instagram to encourage more conversations and informative two-way science communication with diverse audiences.

Implications

This study is especially informative for understanding characteristics of science communication on social media, and could contribute to dialogic theory on science communication more broadly, as the results highlight factors that play an important role in fostering two-way exchanges [ 62 , 106 , 118 ]. The use of more formal methods typical of traditional science communication practices, i.e., through transfer of publications (data and information in various forms, e.g., peer-reviewed research papers) [ 119 – 122 ], often results in a transmission pathway, where conversations are limited between communicators and their audiences ( Fig 8 ). In contrast, the implementation of interpersonal strategies by science communicators promotes the formation of communicator-audience relationships and encourages audiences to participate in more two-way conversations, resulting in positive feedback effect ( Fig 8 ). Crucially, because the interpersonal communication practices observed in this study mainly relate to how content is shared rather than what information is shared or who it is shared with, such strategies are applicable to a wide diversity of subjects and audiences. Therefore, science communicators of all types (individual scientists, organizations, government agencies, etc.) can communicate interpersonally with citizens about a variety of scientific topics for which research information is relevant to make policy decisions, promoting citizens to be more scientifically engaged in environmental, health, and other issues.

Formal strategies are not sufficient to establish a relationship between audience and communicator, resulting solely in a transmission pathway. Interpersonal strategies act as enablers to information flow, resulting in communicator-audience relationships, which promote two-way conversations sustained over time.

https://doi.org/10.1371/journal.pone.0241972.g008

For organizations such as eNGOs that are communicating with large non-scientific audiences, the potential to engage citizens in the science of environmental issues through interpersonal strategies is high. Importantly, because organizations do not operate in the same manner as individual scientists, they may be more limited in their ability to adopt interpersonal communications (for example, organizations are staffed by multiple individuals, and/or may be hesitant to share off-topic content or use first person pronouns due to organization culture) [ 123 , 124 ]. Furthermore, organizations face particular challenges and risks when using social media, such as losing control of the narrative of messages or being portrayed as less authoritative, which are not eliminated with the implementation of interpersonal strategies. In such cases, organizations could develop specific guidelines for implementing interpersonal communication into their social media activities in a manner consistent with higher-level organization practices. Nonetheless, because the eNGOs in this study share many goals with the individual scientists (such as encouraging two-way science conversations), eNGOs could apply interpersonal communication strategies—through a “spokesperson,” for example—and promote improved scientific literacy in their audiences on environmental issues that the organizations are engaged with.

Although this research investigated science communication on social media, the interpersonal strategies observed to promote conversations with citizens are applicable to all science communicators in diverse environments. Science communicators working to engage their audiences with environmental research information can apply interpersonal techniques offline as well as online. For example, communicators could utilize interpersonal communication strategies to establish relationships with relevant stakeholder groups involved in participatory policy processes and gain a better understanding of stakeholder concerns, ultimately leading to greater cooperation and more effective management decisions that are inclusive of stakeholder values [ 115 ].

Limitations and future work

The sample size of communicator participants was selected to examine the research question in a detailed and qualitatively data-rich manner rather than be representative of all scientists and eNGOs communicating on social media; nonetheless, increasing the number of communicator participants could reveal whether the conclusions of this study hold across a broader group of communicators and their audiences. Additionally, a longer period of study than was the source of data in this research, would provide further insights into communication patterns, such as how social media behaviours may be changing over time, regarding platform functionality and the way in which users employ social media tools (for example, a new feature called Instagram TV was instituted while this research was in progress). The ways in which social media research is conducted may also be required to change over time as the relationship between researchers and platform providers evolves and data access shifts [ 125 , 126 ]. The study was focused on Twitter and Instagram; future work could include other popular social media platforms such as Facebook and YouTube to advance understanding of the effects of interpersonal communication on engagement across more platforms. The communicator participants in this study share slightly different information on social media (i.e., the individual scientists focused mainly on a range of science topics, whereas the eNGOs included more politics and advocacy, with science aspects), which could affect audience engagement. Further research could compare individual scientists and eNGOs focusing on a single science topic to identify any effect of content topic on audience engagement.

The demographic concentration of the survey participants tended toward younger, highly educated respondents. Future work could use sampling techniques to evaluate whether links exist between demographic characteristics and the choice to participate in social media conversations, as well as survey a larger number of audience members to draw broader representative conclusions. Furthermore, conversation quality and message framing were not measured to determine the extent to which social media conversations were scientifically meaningful and learning-oriented, or how messages were framed. Additional investigation into social media as tools to facilitate a participatory model of communication could advance understanding of conversation quality. Evidence from the survey in this study suggests that communicators are positively influencing audience behaviour. For example, 44% of the survey participants (n = 41) feel inspired by communicator posts to make behaviour changes in regard to the natural environment. Therefore, future research that focused on conversation quality could provide additional insight into the effectiveness of science communication to influence behavior. Determining deeper understanding of the extent to which communicators are reaching non-scientific audiences, and how communicator-audience networks are structured and operate, could be obtained through studies that investigate how to measure the level of effectiveness of conversations in communicator/audience interactions, the role of communicator/audience networks, and the presence of lurkers in such networks.

Conclusions

A social media presence by itself is not sufficient for successful communication; how social media tools are used to encourage two-way conversations is an important determinant of engagement [ 25 , 118 ]. Both the individual and eNGO communicator groups in this study share similar communication goals and conveyed strong awareness of strategies known to be effective for science communication (such as two-way conversations). The two communicator groups apply interpersonal communication strategies differently in their social media activity. One difference that emerged is their overall application of interpersonal communication strategies. The individual scientists particularly focus on making themselves known and relatable communicators throughout their social media activity, and on establishing relationships with their audiences. In practice, the individuals achieve this outcome by posting more selfies (images and videos), posting more off-topic content, responding to more comments, and using more personal pronoun-prominent language than the eNGOs achieved. The individual scientists also prioritize Instagram over Twitter (and particularly Instagram stories), which more readily supports the implementation of interpersonal communication strategies than Twitter. This emphasis by the individual scientists on interpersonal communication promotes the formation of communicator-audience relationships, encouraging more two-way conversations and generating greater numbers of opportunities to form relationships with their audiences than the eNGOs. In other words, the results of this study show that a combination of interpersonal communication strategies, and their application throughout the social media activity of science communicators via the features of the social media platforms, especially in Instagram, play an important role in determining audience participation in two-way conversations, and ultimately affect how audience members engage with communicators over time.

Supporting information

S1 table. codes and definitions used to characterize twitter post, instagram post, and instagram story content..

https://doi.org/10.1371/journal.pone.0241972.s001

Acknowledgments

The individual scientists, eNGOs, and survey participants who participated in this study are acknowledged with thanks. Peter Wells, International Ocean Institute Canada, and Suzuette Soomai, Canada Department of Fisheries and Oceans, provided helpful insights. This paper benefitted from the detailed assessment by the PLOS ONE anonymous reviewers.

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ORIGINAL RESEARCH article

Is technology enhancing or hindering interpersonal communication a framework and preliminary results to examine the relationship between technology use and nonverbal decoding skill.

• 1 Department of Psychology, University of Maine, Orono, ME, United States
• 2 Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, United States
• 3 Department of Natural and Applied Sciences, Bentley University, Waltham, MA, United States

Digital technology has facilitated additional means for human communication, allowing social connections across communities, cultures, and continents. However, little is known about the effect these communication technologies have on the ability to accurately recognize and utilize nonverbal behavior cues. We present two competing theories, which suggest (1) the potential for technology use to enhance nonverbal decoding skill or, (2) the potential for technology use to hinder nonverbal decoding skill. We present preliminary results from two studies to test these hypotheses. Study 1 ( N = 410) found that global screen time was unrelated to nonverbal decoding skill. However, how participants spent their time using technology mattered. Participants who reported more active technology use (i.e., posting content) self-reported that their nonverbal decoding skill (as measured by the Emotional Sensitivity subscale of the Social Skills Inventory) was superior but performed worse on objective measures of decoding skill (using standardized tests including the Diagnostic Analysis of Nonverbal Accuracy-Adult Faces and the Workplace Interpersonal Perception Skill). By contrast, passive users performed significantly better on objective measures of nonverbal decoding skill; although they did not self-report any difference in their skill compared to less passive users. Study 2 ( N = 190), and a mini-meta analysis of both studies, replicated this pattern. These effects suggest a roadmap for understanding the theoretical relationship between technology use and nonverbal communication skills. We also provide recommendations for future research, including the use of experimental designs to determine causal pathways and to advance our conceptual understanding of the relationship between technology use and nonverbal decoding skill.

Introduction

A young-professional is woken up to the sound of a buzzing alarm, and grudgingly rolls over to grab their phone. Perhaps this individual begins their morning by passively scrolling through their Facebook feed in order to determine their colleague’s reaction to the heated presidential debate the night before. Or maybe they snap a quick picture of their #OOTD (i.e., Outfit of the Day) to send to their close friend. After returning home from a long day of work-based videoconference calls, this individual may spend the next few hours sucked into the whereabouts of their favorite social media influencer, or casually swiping through some dating profiles. Before retiring to bed, however, they make sure to post a quick inspiring quote to their Twitter profile.

This scenario, while fictitious, illustrates the increasing relationship many individuals have with technology from the instant they wake up, to the instant they go to bed. Technology serves various functions, from increasing office productivity, facilitating big data collection, enhancing record keeping, and above all else, providing a distinctly digital way for humans to communicate with one another. Indeed, the rate of communicative instances via technology per day in 2020 is astounding: 350 million photos uploaded to Facebook, 500 million tweets, 3 billion snapchats, and over 26 billion texts by Americans alone ( Aslam, 2020a , b ; Sayce, 2020 ; Tocci, 2020 ).

While the digital revolution has certainly changed the way individuals can communicate, little empirical results exists regarding the effect of technology on an individual’s communication skills. Specifically, because technology markedly changes the available information individual’s use to decode the communicative intents of others (e.g., determining a friend’s emotional state via short text message instead of their facial expression), are those who spend large quantities of time communicating online better or worse decoders of nonverbal information? Not only is nonverbal decoding a crucial component of general social and communication skills, but it has been tied to better interpersonal outcomes (e.g., Hall et al., 2009 ), can be easily assessed with validated, reliable, and standardized objective measures, and can be improved with practice and feedback trainings (e.g., Schlegel et al., 2017b ). Therefore, the question of whether technology may affect nonverbal decoding, or how accurately a perceiver can recognize and interpret the nonverbal behaviors of another person, is important to empirically address.

Supplementing or even fully replacing face-to-face communication with technology-mediated communication affects both the number of nonverbal cues, as well as the types of nonverbal cues that individuals use to decode communicative meaning ( Vinciarelli, 2017 ). For example, text messages may not allow access to important vocal cues (e.g., pitch, tone, inflections), but may have distinct timing and spacing cues to draw from Döring and Pöschl (2008) . By contrast, video conferencing technologies may allow access to vocal cues, but may limit the ability to engage in mutual eye gaze or perceive body movements and gestures ( Ferrán-Urdaneta and Storck, 1997 ; Neureiter et al., 2013 ). If individuals rely more heavily on technology-mediated, as opposed to face-to-face, interactions as a primary means of communication, it seems likely that the nonverbal decoding skill individuals ordinarily employ in face-to-face communication would be impacted (e.g., worsened, or perhaps enhanced).

This paper applies communication skills theories and conceptual accounts of technology use to examine the role of technology use on an individual’s ability to accurately perceive the nonverbal behavior displayed by others (i.e., nonverbal decoding skill). For the purposes of this paper, we define technology use as any technology or application on a smart phone that contributes to communication online (e.g., use of social media sites, texting, emailing). Cell phone use is the predominant method of technology use by young adults in the United States today with 96% of 18–26 years-old young adults reporting ownership of a smart phone ( Pew Research Center., 2019 ). Therefore, for the remainder of the paper, when discussing technology use, we are referring specifically to smart phone use.

We start by reviewing two competing hypotheses, that technology use either enhances or hinders communication skills. We then present results from two cross-sectional studies and a mini meta-analysis of these studies on the relationship between technology use and nonverbal decoding skill to inform our understanding of which of the competing hypotheses is more likely supported. Finally, we make recommendations for future research aimed at disentangling the causal relationship between technology use and nonverbal decoding skill.

Technology Use May Enhance Communication Skills

The most effective way to improve nonverbal decoding skill is by practicing decoding nonverbal cues and receiving feedback on the accuracy of one’s perceptions ( Blanch-Hartigan et al., 2012 ; Schlegel et al., 2017a ). Regarding the relationship between technology use and nonverbal decoding skill, some theorists have argued that technology-mediated communication may enhance communication skills by providing a safe environment to practice sending and receiving nonverbal cues, and allowing for feedback regarding the accuracy of one’s perceptions (e.g., Stritzke et al., 2004 ; Ellison et al., 2007 ; Valkenburg and Peter, 2009 ). Because it is unusual in face-to-face interactions to receive feedback about one’s decoding ability, it may be that spending more time using technology to interact with others may facilitate face-to-face interactions by providing this type of practice and feedback to users on a regular basis.

Liberated Relationship Perspective

One hypothesis which falls into this “enhancement” framework is the Liberated Relationships Perspective ( Hu et al., 2004 ). This theory argues that increased internet usage has allowed individuals who may not typically engage in conversation the opportunity to engage with one another through technology-mediated communication. Some of the constraints may be psychological, such as in cases of shyness and social anxiety ( Stritzke et al., 2004 ), or physical, such as in cases of distant geographical locations ( Ellison et al., 2007 ). According to this framework, internet usage may afford an increase in the number of interactions an individual is able to engage in. If the internet supplements, instead of detracts from, face-to-face interactions, individuals may have increased opportunities to practice nonverbal decoding with a greater number and variety of communication partners.

Internet Enhanced Self-Disclosure Hypothesis

While not directly related to communication skill, the Internet Enhanced Self-Disclosure Hypothesis also provides support for improved nonverbal decoding skill with increased technology use ( Valkenburg and Peter, 2009 ). This theory posits that greater technology use may enhance social connectedness and wellbeing by enhancing online self-disclosure . The authors define online self-disclosure as “online communication about personal topics that are typically not easily disclosed, such as one’s feelings, worries, and vulnerabilities” (p. 2). Because online platforms allow for the sharing of intimate information to a significantly greater degree than do face-to-face interactions, it is likely that individuals are afforded more opportunities to practice decoding and receive feedback regarding affective information. Individuals who engage in technology-mediated communication more frequently may become more skilled decoders of nonverbal information, perhaps for affective information in particular.

Technology Use May Hinder Communication Skills

While these two “enhancement” theories describe the ways in which increased technology usage may allow individuals more opportunities to practice decoding nonverbal communication, others have argued a competing perspective. Specifically, researchers have argued that technology may hinder specific communication skills. Spending time communicating via technology may result in less face-to-face interactions and therefore less practice decoding nonverbal information in whole, as well as from specific cue channels (e.g., vocal tone) which are reduced or absent in many technology platforms ( Kraut et al., 1998 ; Nie, 2001 ; Patterson, 2019 ). In this way, the type of communication skills learned or practiced in technology-mediated communication are not equivalent to, and may even hinder, the skills required to decode nonverbal behavior in face-to-face interactions.

Reduction Hypothesis

In the early 1990s, several researchers theorized that the internet had detrimental effects on adolescent wellbeing and social connectedness ( Kraut et al., 1998 ; Nie, 2001 ). It was assumed that because the internet motivates adolescents to form superficial online relationships with strangers that are less beneficial than their real-world relationships, time spent online occurs at the expense of time spent with existing relationships. The Reduction Hypothesis posits that it is the lack of or decrease in face-to-face interacting that leads to detrimental communicative consequences rather than technology itself ( Valkenburg and Peter, 2009 ).

Valkenburg and Peter (2009) propose two important updates to this theory based on changes in how individuals use the internet to communicate since the Reduction Hypothesis was first introduced. First, in the second half of the 1990s, it was hard to maintain a pre-existing social network on the internet because not a lot of people had access to it, often resulting in online friends separate from offline friends. Today, with more widespread access and utilization of the internet and social media, individuals spend more time online connecting with people they also spend time with in face-to-face interactions as opposed to forming online-only relationships with strangers ( Valkenburg and Peter, 2009 ). However, the communication skills, such as nonverbal decoding, that individuals develop through online interactions may not translate to actual face-to-face interactions. As such, time spent online may stunt the development of nonverbal decoding necessary for face-to-face interactions. Therefore, although our internet habits have changed, the Reduction Hypothesis is still relevant to theorizing regarding the effects of technology use on nonverbal decoding ability.

Cues-Filtered–Out Theory

In addition to reducing the amount of time individuals spend interacting face-to-face, theorists have also noted that many technology-mediated communication platforms greatly reduce both the number as well as the kinds of nonverbal cues technology users are exposed to. Cues absent from some technology-mediated communication (e.g., social media, texting, emailing) can include physical appearance, tone of voice, facial expression, gaze, posture, touch, space, and gestures ( Kiesler et al., 1984 ; Siegel et al., 1986 ). These nonverbal cues are important in expressing relative status, affect, relationship roles, and many other interpersonal dimensions. This Cues-Filtered-Out Theory ( Culnan and Markus, 1987 ; Sproull and Kiesler, 1986 ) suggests that without these cues available, especially for low bandwidth technology (i.e., communication systems with access to only one or two channels such as vocal, kinesics, or proxemics), certain communicative functions are lost. Although higher bandwidth systems may allow for certain nonverbal cues, these cues are often more obvious and lack complexity, which may cause individuals to lose the ability to decode more subtle nonverbal cues (e.g., facial expressions are more complex than emoji’s, vocal intensity is more complex than CAPITALIZING words). Therefore, this theory suggests that the filtering out of important nonverbal cues (e.g., especially for individuals who use low bandwidth technology systems) impacts an individual’s ability to receive practice and feedback on the accuracy of their nonverbal decoding attempts, thereby hindering nonverbal decoding skill ( Walther and Parks, 2002 ).

Current Research and Hypotheses

The primary objective of the current research is to empirically examine the relationship between technology use and nonverbal decoding skill via two studies and a mini meta-analysis combining results from these two studies. Because individuals may use technology the same amount but differ in how they spend their time online, we measured users’ online communication activity via objective global screen time use taken from iPhone users, as well as the degree of self-reported active technology use (posting selfies and photographs, responding to others’ posts) and the degree of self-reported passive technology use (scrolling through photographs and others’ posts but not responding or posting themselves). In addition, we also sought to be thorough in our assessment of nonverbal decoding skill, as researchers have demonstrated that there are different kinds of decoding skills subsumed by a higher-order global decoding skill ( Schlegel et al., 2017a ). Therefore, we employed three distinct measures of nonverbal decoding, two objective assessments of skill using a standardized, validated, and reliable test of emotion recognition [i.e., Diagnostic Analysis of Nonverbal Accuracy-Adult Faces (DANVA-2AF; Nowicki and Duke, 1994 )] and a newly developed test that assesses relevant decoding ability in the workplace such as inferring behavioral intentions, personality traits, status, interpersonal attitudes (dominance/cooperativeness and motivations), behavioral outcomes, and thoughts and feelings [i.e., the Workplace Interpersonal Perception Skill (WIPS; Dael et al., in preparation )], and one self-report measure [the Emotional Sensitivity subscale of the Social Skills Inventory (SSI; Riggio, 2005 )]. Together, we utilized these various measures of technology and nonverbal decoding skill in order to test the preceding competing hypotheses: (1) more technology use is related to better nonverbal decoding skill vs. (2) more technology use is related to poorer nonverbal decoding skill.

Materials and Methods

Participants.

Data were collected from 410 participants in the University of Maine introductory participant pool for a study on perceiving nonverbal signals in others. Of these, 51% were male and 48% were female. A total of 377 (92%) participants identified as white, 15 (4%) as Asian, 14 (3%) as American Indian or Alaska Native, 12 (3%) as Black, 2 (0.5%) as Native Hawaiian or Pacific Islander, and 33 (8%) as Other. Their ages ranged from 18 to 29 ( M = 19.09, SD = 1.56). A power analysis conducted using G ∗ Power ( Faul et al., 2007 ) assuming a small to medium effect ( r = 0.15) of technology use on nonverbal decoding skill indicated that 343 participants would be needed to achieve 80% power using an alpha level of 0.05 (two-tailed). The final sample of participants exceeds this threshold, indicating that the present study is sufficiently powered to detect small to medium effects.

Technology Use

Three separate measures of technology use were collected from participants. For iPhone users, participants were instructed to navigate to their phone settings and extract their average daily screen time over the last 7 days in minutes ( N = 263). This screen time metric is a real-time report of how much time a participant spends with their phone screen turned on in an average week (i.e., listening to music with one’s screen off is not included). To ensure participants did not alter their responses in order to appear more socially desirable, we also required that they upload a screenshot of this information. In addition to this objective measure of technology use, participants were asked to self-report on a scale of 0–10 from “does not describe me at all” to “describes me very well” how well the following statements described their technology use, “I tend to be an active user, posting frequently” and “I tend to be a passive user, scrolling through posts and photos.” These two questions comprised our self-report measures of technology use: the degree to which a participant endorsed themselves as an active user separately from the degree to which a participant endorsed themselves as a passive user. Because active user endorsement and passive user endorsement were single item questions rather than a single bipolar item, participants could report any combination of active and passive technology use. That is, a participant could endorse a high degree of active use and a high degree of passive use, they could report a low degree of both, or a high degree of one and not the other. For all analyses, we entered both continuous variables to examine how the independent contribution of active and passive use predicted our outcomes of interest.

Nonverbal Decoding Measures

The newly developed WIPS test (Workplace Interpersonal Perception Skill; Dael et al., in preparation ; a = 0.67) assesses multiple aspects of decoding skill using 41 brief video segments with and without sound from three types of role-played workplace interactions: a recruiter-applicant negotiation, a helpdesk trouble-shooting scenario, and a company team meeting. Each segment is paired with a multiple-choice question for which the correct answer was based on actual behavior (what happened in the interaction during or after the video segment), instructions that the actors received (e.g., to be competitive), actors’ self-reported personality, or post-interaction evaluations (e.g. perceptions of the other as competitive) and response options varied from 2 options to 6 options depending on the item. In this way, participants must decode multiple simultaneous nonverbal cues (e.g., tone of voice, facial expression) in order to accurately assess the interpersonal characteristics of any given situation. For some items, the video consisted of multiple short segments (e.g., You will see the same person in two different negotiations signing a contract. In which negotiation did the person negotiate the better deal for herself?) while other videos were based off of just one video (e.g., In the following video, you will see 6 people enter the room for a team meeting. Who is the team leader?). Accuracy is calculated as the proportion correct responses compared against a criterion or correct response for each segment.

Participants also completed the Diagnostic Analysis of Nonverbal Accuracy-Adult Faces (DANVA-2AF; Nowicki and Duke, 1994 ; a = 0.60), a test of emotion recognition ability using static and posed photographs. This measure presents 24 photographs of adult faces with high and low intensity portrayals of the four basic emotions of happiness, anger, sadness, and fear. Accuracy was calculated as the proportion correct.

Finally, participants completed the Emotional Sensitivity (ES; a = 0.80) subscale of the Social Skills Inventory (SSI; Riggio, 2005 ). The ES subscale consists of 15 self-report items, with a 5-point response scale ranging from “Not at all like me” to “Exactly like me.” The ES subscale specifically assesses self-reported skill for decoding emotional and other nonverbal messages (e.g., I always seem to know what people’s true feelings are no matter how hard they try to conceal them) . For analysis purposes, a sum was calculated across items.

Our second study was an exact replication of Study 1 launched approximately 3 months after Study 1 with data from 190 participants from the University of Maine introductory participant pool. Because we had not hypothesized a priori the effect of active and passive technology use on nonverbal decoding skill, we wished to collect a second sample of participants in order to investigate whether the pattern of results we describe in Study 1 would replicate. The demographics of this second sample were comparable to those from our first study, with 91 male participants (48%) and 99 females (52%). Of these, 179 (94%) identified as white, 9 (5%) as Asian, 5 (3%) as Black, 2 (1%) as American Indian or Alaska Native, 1 (0.5%) as Native Hawaiian or Pacific Islander, and 6 (3%) as Other. Participant’s ages ranged from 18 to 31 ( M = 19.43, SD = 1.57). A power analysis conducted using G ∗ Power ( Faul et al., 2007 ) assuming a small to medium effect derived from Study 1 ( r = 0.20) indicated that 191 participants would be needed to achieve 80% power using an alpha level of 0.05 (two-tailed).

To test our competing hypotheses about the relationship between technology use and nonverbal decoding skill, we first examined bivariate correlations between our study variables. Next, we ran a series of linear regressions on the whole sample in Study 1 and Study 2 controlling for participant gender to examine the independent contribution of active and passive technology use on each of our nonverbal decoding skill measures (accuracy scores on the WIPS test, accuracy scores on the DANVA, and self-reported emotional sensitivity).

To combine results from Study 1 and Study 2, a mini meta-analysis ( Goh et al., 2016 ) was performed for each technology use variable and each nonverbal decoding variable. We used fixed effects in which the mean effect size (i.e., mean correlation) was weighted by sample size. All correlations were Fisher’s z transformed for analyses and converted back to Pearson correlations for presentation.

Means, standard deviations, and bivariate correlations are presented in Table 1 . Contrary to what would be predicted by either theoretical framework, screen time use was unrelated to every measure of nonverbal decoding skill we employed. However, when examining the ways in which participants self-reported spending their time online, a more complex pattern emerged. Specifically, more active technology use was related to higher self-reported nonverbal decoding skill ( r = 0.20, p < 0.001) but lower accuracy score on the WIPS ( r = −0.17, p < 0.001). That is, participants who identified as more active users (i.e., posting frequently) believed that they were better judges of others’ nonverbal communication, but performed significantly worse on an objective test of nonverbal decoding skill (i.e., the WIPS test). On the other hand, participants who reported being more passive users (i.e., reading through posts and looking at other people’s photographs) were significantly more accurate in decoding nonverbal behavior, as measured by the WIPS ( r = 0.14, p = 0.005), although they did not self-report any differences in their nonverbal decoding skills from less passive users as highlighted by the correlation between passive user endorsement and self-reported skill on the ES subscale of the SSI ( r = 0.04, p = 0.484). Neither self-reported passive nor active technology use was significantly related to an individual’s ability to decode facial expressions of emotions, measured via the DANVA-2AF ( p ’s > 0.07).

Table 1. Study 1 and study 2 means, standard deviations, and bivariate correlations between technology use, nonverbal decoding skill, and gender.

Gender, Technology Use, and Nonverbal Decoding Skill

Because active and passive technology use were not mutually exclusive (i.e., an individual could report being high on active and passive use), and because gender is related to both technology use ( Jackson et al., 2008 ) as well as nonverbal decoding skill ( Hall and Gunnery, 2013 ), we wished to determine the independent effects of active and passive technology use on nonverbal decoding skill while controlling for gender. Therefore, we first entered active use, passive use, and gender into a regression predicting accuracy scores on the WIPS. Active use remained a significant negative predictor (β std = −0.21, p < 0.001; Table 2 ), suggesting that those who are more active users were worse at decoding nonverbal behavior. Passive use also remained a significant positive predictor (β std = 0.11, p = 0.02), where those who reported spending their time looking at others’ posts and pictures were more accurate in decoding nonverbal behavior. Further, these two effects were significant even after controlling for gender, which also significantly predicted higher scores on the WIPS test (β std = 0.21, p < 0.001; female coded as 1, male coded as 0). Approximately 8% of the variance in WIPS test scores was accounted for when active use, passive use, and gender were entered as predictors.

Table 2. Regression results from study 1 and study 2 examining the independent contribution of technology use variables on nonverbal decoding skill.

We next entered active use, passive use, and gender into a regression predicting accuracy scores on the DANVA-2AF. None of these variables, apart from gender (β std = 0.17, p = 0.001), significantly predicted scores on the DANVA-2AF ( Table 2 ). Approximately 4% of the variance in DANVA-2AF scores was accounted for by these predictor variables.

When active use, passive use, and gender were entered into a regression predicting self-reported nonverbal decoding skill, active use remained a significant positive predictor (β std = 0.18, p < 0.001), such that those who were more active users self-reported that they were better at decoding nonverbal information from others ( Table 2 ). While more passive use was unrelated to self-reported nonverbal decoding skill, gender remained a marginally significant positive predictor (β std = 0.10, p = 0.052) indicating that females reported being more skilled nonverbal decoders than males. Approximately 5% of the variance in self-reported nonverbal decoding skill was accounted for when active use, passive use, and gender were entered as predictors.

While results from Study 1 were neither supportive of an enhancing or suppressing effect of global technology usage on nonverbal decoding skill, we did find that the ways individuals used technology mattered (i.e., actively versus passively). Because this active/passive relationship was not hypothesized a priori , we examined these effects in a separate sample of participants. Therefore, akin to Study 1, we first examined the bivariate correlations between our measures of technology use and nonverbal decoding skill. We once again found that screen time use was unrelated to objective measures of nonverbal decoding skill—i.e., the DANVA and WIPS ( p’s > 0.20). However, in Study 2 objective screen time use was significantly and positively related to self-reported nonverbal decoding skill ( r = 0.17, p = 0.050) ( Table 1 ).

Replicating Study 1’s findings, active technology use was also related to higher self-reported nonverbal decoding skill ( r = 0.25, p = 0.001), but lower objective nonverbal decoding skill as measured by the WIPS ( r = −0.16, p = 0.028). Individuals who identified as more passive users were once again significantly more accurate in decoding nonverbal behavior, as measured by the WIPS ( r = 0.27, p < 0.001), although they did not self-report any differences in their nonverbal decoding skills from less passive users ( r = −0.03, p = 0.653). Neither self-reported passive nor active technology use was significantly related to an individual’s ability to decode facial expressions of emotions, measured via the DANVA-2AF ( p’s > 0.167).

We deconstructed these effects by entering active use, passive use, and gender into three separate linear regressions predicting the WIPS, DANVA-2AF, and self-reported nonverbal decoding skill. We regressed our three predictor variables on scores from the WIPS. Replicating regression results from Study 1, active technology use was a marginally significant negative predictor of nonverbal decoding skill (β std = −0.13, p = 0.085), passive use remained a significant positive predictor of nonverbal decoding skill (β std = 0.25, p = 0.001), and gender was a significant predictor, with females scoring higher on the WIPS test compared to males (β std = 0.27, p < 0.001). This model accounted for 15% of the variance in WIPS scores.

Next, we regressed active use, passive use, and gender on scores from the DANVA-2AF. Once again, gender was the only significant positive predictor (β std = 0.32, p < 0.001), with females scoring significantly higher than males. Approximately 11% of the variance in DANVA-2AF scores was accounted for by these three predictors.

When active use, passive use, and gender were entered into a regression predicting self-reported nonverbal decoding skill, active use was a significant positive predictor, similar to Study 1, (β std = 0.21, p = 0.006), such that those who were more active technology users self-reported having more skill in decoding nonverbal information. Reporting more passive technology use was unrelated to self-reported nonverbal decoding skill. Gender remained a significant positive predictor (β std = 0.31, p < 0.001) indicating that females self-reported more nonverbal decoding skill than males. Approximately 16% of the variance in self-reported nonverbal decoding skill was accounted for when active use, passive use, and gender were entered as predictors.

Mini Meta-Analysis

Finally, we conducted a mini meta-analysis ( Goh et al., 2016 ) in order to provide a consistent account regarding the relationship between technology use and objective and self-reported measures of nonverbal decoding skill across these two studies. After combining these effects across both studies, we found that individuals who self-reported more active technology use self-reported higher nonverbal decoding skill (M r = 0.22, p < 0.001), but scored lower on one objective index of nonverbal decoding skill (i.e., the WIPS test: M r = −0.17, p < 0.001). Moreover, individuals who self-reported more passive use scored significantly higher on both objective indices of nonverbal decoding (i.e., the WIPS test: M r = 0.18, p < 0.001 and the DANVA2-AF: M r = 0.09, p = 0.023), but did not self-report higher levels of nonverbal decoding skill (M r = 0.02, p = 0.667; Table 3 ).

Table 3. Mini meta-analysis results from study 1 and study 2 examining combined correlations between measures of technology use and nonverbal decoding skill.

While many have theorized about the potential positive or negative effects that technology may have on communication skills, no studies to date have empirically examined the relationship between technology use and nonverbal decoding skill. In order to begin to understand the ways in which technology use and nonverbal decoding skill are related, we measured multiple facets of each construct to more thoroughly examine their empirical relationships with one another.

While overall screen time was unrelated to any measure of nonverbal decoding skill, interesting and consistent patterns emerged when looking at the way individuals spent their time using technology. Specifically, individuals who reported actively posting and engaging with technology-mediated communication self-reported that they were more accurate at decoding the nonverbal behaviors of others. However, these more active users were more likely to score lower on objective measures of nonverbal decoding skill. Conversely, individuals who reported spending their time online passively viewing others’ posts and photos scored higher on objective nonverbal decoding skill but did not self-report that their skills were any better.

These findings lend support to the role of practice and feedback as an effective way to increase nonverbal decoding skill ( Blanch-Hartigan et al., 2012 ). Passive users of communication technology likely receive practice in decoding nonverbal cues simply by being exposed to other users’ content (e.g., pictures, posts, videos) and thus a greater frequency of nonverbal cues. Indeed, the average screen time reported across both studies was about 5 h a day, meaning that passive users may spend up to 5 h each day practicing decoding nonverbal cues. In contrast to “other-focused” passive users, active users likely lose out on a plethora of communication cues as they report spending their time online engaging in “self-focused” activities. That is, although active users likely receive a great deal of practice encoding their own thoughts, feelings, attitudes, etc., they do not receive this same practice when it comes to decoding the thoughts, feelings, attitudes, etc. of others.

Therefore, these results support both the hypothesis that technology use enhances nonverbal decoding skill, and the hypothesis that technology use worsens nonverbal decoding skill. The key lies in how one spends their time using technological platforms. Those who use technology to practice making judgments of others may benefit from time online and learn skills to enhance their face-to-face interactions. However, greater technology use may have the opposite effect for those who choose to spend their time online creating and posting their own content, instead of interacting with the content of others. In these cases, technology may have adverse effects on an individual’s nonverbal decoding skill in face-to-face interactions.

The current research is not without limitations. First, we are limited by our homogenous sample of college participants in one US state. More research is needed to see if the relationship between active and passive technology use and nonverbal decoding skill will generalize more broadly. In addition, while the WIPS test has many advantages to other tests of nonverbal decoding ability (e.g., good reliability and validity, real-world workplace context, dynamic stimuli, many domains of nonverbal sensitivity), it is not yet a published, validated test of decoding ability. Additionally, although self-reporting active and passive technology use provides valid information regarding the way participant’s view their online activity, or the way they are motivated to be, future studies should confirm these self-reports with objective measures in order to assess the accuracy of individual’s self-perceptions. We also examined one aspect of technology use on smartphone devices and the questions focused on self-reported social media use. The role of other technology-mediated communication platforms, such as teleconferencing or interactive video gaming, deserve future study. In our regression models, only 4–16% of the variance in decoding skills was explained by our predictors; therefore, there are many other factors that impact decoding skill ability which should be explored in future work. While the WIPS test is not validated yet (i.e., in prep), it is more ecologically valid than many other available standardized tests of decoding ability because it includes many workplace scenarios and dynamic video rather than focusing on one domain (e.g., emotion recognition like the DANVA-2AF) or using just static photographs where participants often show a ceiling effect on accuracy. In addition, and explained extensively below, we cannot make causal claims about the direction of the relationships given that our data was cross-sectional.

Suggestions to Further Theories of Technology Use and Nonverbal Decoding Skill

Although our data suggest that the way in which an individual communicates with technology may impact nonverbal decoding skills globally (i.e., as measured by the WIPS test), we only observed a marginally significant effect to suggest that technology use was related to an individual’s ability to decode facial expressions of emotion measured via the DANVA-2AF. While it may be that technology truly does not impact this facet of nonverbal decoding skill, it is also possible that we did not measure technology use at a detailed enough level to reveal any meaningful relationships. Although participants reported technology use generally, different social media and technology communication platforms are vastly different in their bandwidth and each emphasize distinct cue channels. For example, while some platforms emphasize visual cues (e.g., Instagram, Snapchat) others may underscore more verbal cues (e.g., Facebook, Twitter). Collapsing technology use across all platforms may dilute interesting relationships between particular social media apps, cue channels, and nonverbal decoding skill. For instance, it may be that individuals who passively use applications which highlight posting pictures or videos receive more practice in decoding facial expressions, and therefore may score higher on emotion decoding tests such as the DANVA-2AF. Therefore, we urge future researchers to be thoughtful in selecting the most relevant nonverbal decoding skill measure for their particular study Stosic and Bernieri (in prep) taking into account domain (e.g., emotion recognition or general workplace decoding skills) as decoding ability does not appear to be a single skill ( Schlegel et al., 2017a ), and to further explore the ways in which specific technology-mediated platforms, opposed to global technology use, impact vital communication skills.

In addition to delineating more precise constructs, the areas of technology and nonverbal communication research would benefit from an increase in experimental designs. While we have interpreted our data as technology use potentially influencing nonverbal decoding skills, it is highly plausible that the causal relationship is reversed. Individuals who are more accurate perceivers of others’ nonverbal behavior may be more likely to use technology in a passive way because they are more practiced, more comfortable, or more engaged with others. Those who are less accurate perceivers of others’ nonverbal behavior may use technology more actively because they are more self-focused or find perceiving others to be more challenging or less rewarding. The correlational nature of the current studies does not allow us to untangle the direction of these effects. Therefore, we urge future work to consider experimental designs to examine the causal relationship between technology use and communication ability, particularly nonverbal decoding skill.

While experimental designs on this topic are rare, we are aware of one study that employed a quasi-experimental design to manipulate technology use. Age-matched cohorts of preteens attended a summer camp in a staggered order such that one group went earlier than the other group ( Uhls et al., 2014 ). While at camp, electronics including television, computers, and mobile phones were not allowed. The first group to attend camp was the experimental group ( N = 51) and the group that stayed at school while the first group was at camp was considered the control group ( N = 54). After just 5 days of interacting face-to-face without the use of any technology, preteens’ recognition of nonverbal emotion cues from photographs and videos (using the DANVA-2 Child and Adult Faces and the Child and Adolescent Social Perception Measure) was significantly greater compared to the control group. From this, we can gather that the short-term effects of increased opportunities for face-to-face interaction, combined with time away from screen-based media and digital communication, improved preteens’ understanding of and ability to decode nonverbal emotion cues.

Completely removing technology can be difficult in a real-world context; however, there are a variety of methods we propose to untangle the relationship between technology use and nonverbal decoding skill. There are applications and settings on most smartphones that display an alert when the user has reached a screen time maximum for the day. Researchers could consider a dose-response experiment in which they randomly assign different allowed hours of screen time to users each day for a series of days. One could then understand if different doses of screen time lead to higher or lower levels of nonverbal decoding skill.

In another potential research design, researchers could randomly assign the way technology is used by participants. Researchers could assign individuals as “passive users” who are not allowed to post but must read through others’ posts and/or photographs. Some questions to consider are whether or not this would facilitate practice, contribute to learning, and improve nonverbal decoding skill. Another quasi-experimental design could follow emerging adolescents with or without phones and assess differences in their nonverbal decoding skills, accounting for covariates and confounders such as gender, socioeconomic status, parents’ educational levels, and baseline communication skills.

In addition to experimentally manipulating technology use, research could examine and potentially rule out the reverse causality claim that nonverbal decoding skill is driving technology use. To do this, researchers could train participants on nonverbal decoding skill using validated trainings, such as the Geneva Emotion Recognition Test training (GERT; Schlegel et al., 2017b ), and then assess whether technology use changes over time or if training nonverbal decoding skill makes technology-mediated communication smoother or more rewarding.

As the use of technology-mediated communication continues to expand, it is crucial for psychological research to address the positive and negative consequences of technology use on communication skills, in particular nonverbal communication. The current research suggests that it may not be the technology use itself, but rather how actively or passively users engage with technology, that facilitates or hinders nonverbal decoding skill. We ultimately found support for all hypotheses (i.e., Liberated Relationship Perspective, Internet Enhanced Self Disclosure Hypothesis, Reduction Hypothesis, and Cues Filtered Out Theory) but the ways in which the hypotheses were supported depended on how users interacted with technology. Our results showed that those who use technology in a more passive way (reading and look at others’ posts) had higher nonverbal decoding accuracy. That is, more passive users may benefit from time online and learn skills to enhance their face-to-face communication (supporting the Liberated Relationship Perspective and Internet Enhanced Self Disclosure Hypothesis). For those who reported more active use (creating and posting their own content), they had lower nonverbal decoding accuracy. For these more active users, technology may have adverse effects on their ability to read and respond to others in face-to-face communication (supporting the Reduction Hypothesis and Cues Filtered Out Theory).

We believe these results to be encouraging, as some of the fears regarding the negative impact of technology on an individual’s communication skills may not come to fruition if technology is used in a more passive, observational manner rather than an active, self-focused manner. Beyond these results, we also provide researchers with suggestions to further the field of technology use and communication skills. Due to the growing diversity in technology-mediated communication platforms, we urge researchers to account for the different functions theses platforms afford users. In addition, and perhaps most importantly, we urge researchers to explore experimental designs to determine causal pathways in the complex relationship between technology and communication skills. Researchers are beginning to understand how the technological revolution is changing the ways in which humans navigate social interactions. A deeper appreciation for this complexity can lead to the development of interventions to enhance and not hinder our communication skills with the increasing presence and benefits of technology in our lives.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by the University of Maine IRB. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

MR, MS, and JC contributed to conception, design of the study, and wrote the first draft of the manuscript. MR organized the database and performed the statistical analysis. DB-H wrote sections of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank research assistant, Vasiliqi Turlla, for her help in data collection and data cleaning and Herbert Ruben for always asking what technology was doing to our communication skills.

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Keywords : technology, nonverbal communication, decoding ability, interpersonal accuracy, communication skills

Citation: Ruben MA, Stosic MD, Correale J and Blanch-Hartigan D (2021) Is Technology Enhancing or Hindering Interpersonal Communication? A Framework and Preliminary Results to Examine the Relationship Between Technology Use and Nonverbal Decoding Skill. Front. Psychol. 11:611670. doi: 10.3389/fpsyg.2020.611670

Received: 29 September 2020; Accepted: 08 December 2020; Published: 15 January 2021.

Reviewed by:

Copyright © 2021 Ruben, Stosic, Correale and Blanch-Hartigan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Mollie A. Ruben, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Interpersonal Communication Research Paper Topics

• Comforting Communication
• Communication and Relationship Rules
• Communication Apprehension
• Communicator Style
• Dating Relationships
• Deception Detection Accuracy
• Deceptive Message Production
• Disclosure in Interpersonal Communication
• Environment and Social Interaction
• Expectancy Violation
• Eye Behavior
• Facial Expressions
• Friendship and Peer Interaction
• Gestures and Kinesics
• Imagined Interactions
• Impression Management
• Ingratiation and Affinity Seeking
• Initial Interaction
• Interaction Adaptation Theory
• Interpersonal Attraction
• Interpersonal Communication Competence and Social Skills
• Interpersonal Conflict
• Long-Distance Relationships
• Marital Communication
• Marital Typologies

Mediated Social Interaction

• Negotiation and Bargaining
• Online Relationships
• Paralanguage
• Politeness Theory
• Power, Dominance, and Social Interaction
• Reciprocity and Compensation in Interaction
• Relational Control
• Relational Dialectics
• Relational Maintenance
• Relational Schemas
• Relational Termination
• Relational Uncertainty

Relationship Development

• Schemas, Knowledge Structures, and Social Interaction
• Self-Presentation
• Sex and Gender Differences in Interpersonal Communication
• Sibling Interaction
• Social Aspects of Goals
• Social Exchange
• Social Interaction Structure
• Social Support in Interpersonal Communication
• Uncertainty Management
• Uncertainty Reduction Theory
• Verbal Aggressiveness

Uncertainty in Interpersonal Communication

When individuals engage in social interaction with each other, they cannot be completely certain of their conversational partners’ current goals, emotional states, beliefs, attitudes, and future actions. Individuals also harbor uncertainties about how they should act toward their partners. These uncertainties are maximal when strangers meet, but uncertainties can also arise in close relationships of long duration. Uncertainty Reduction Theory (URT; Berger & Calabrese 1975) proposes that individuals must reduce their uncertainties to some degree in order to be able to fashion verbal discourse and actions that will allow them to achieve their interaction goals.

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URT has found purchase in explaining social interaction in intercultural (Gudykunst 1995) and organizational (Kramer 2004) communication contexts. Individuals may experience uncertainty with respect to their relationships with each other, and individuals may not necessarily be motivated to reduce their uncertainty when they anticipate experiencing negative outcomes by so doing.

Interpersonal Adaption

When individuals converse, they show strong proclivities to reciprocate each other’s verbal and nonverbal behaviors. Although the forces for reciprocity in social interaction are highly pervasive, there are conditions under which interacting individuals will show compensation in response to each other’s behaviors. Compensation occurs when a behavior displayed by one person is not matched in some way by another. A number of alternative theories have been devised to illuminate the conditions under which reciprocity and compensation are likely to occur, especially with respect to nonverbal behaviors. Although these theories differ in terms of their explanations for reciprocity/compensation, they share a common assumption that when expectations for nonverbal behavior are violated, individuals tend to experience arousal. Research comparing these theories has been inconclusive and has prompted the development of Interaction Adaptation Theory (Burgoon et al. 2010).

Message Production

Just as language is a tool for attaining everyday goals, social interaction is an instrument for goal achievement. Consistent with this proposition, constructivist researchers have endeavored to determine the characteristics of messages deemed to be effective for achieving a variety of goals, most of them concerned with persuasion. A more comprehensive and abstract message production theory labeled Action Assembly Theory (Greene 1997) has been developed to explain how individuals produce actions and discourse. Theories featuring such knowledge structures as scripts and plans have also been devised (Berger 1997). According to these Goal- Plan-Action (GPA) theories (Dillard et al. 2002), scripts and plans are hierarchically organized knowledge structures representing action sequences that will bring about the achievement of goals. Once goals are activated, these knowledge structures guide actions toward goal attainment.

Interpersonal communication plays a critical role in the development, maintenance, and deterioration of social and personal relationships. A central question researchers have sought to answer is why some relationships become closer over time while others grow distant and perhaps end. Social exchange theories have frequently been invoked to explain why relationship growth and deterioration occur (Roloff 1981). These theories suggest that individuals experience both rewards for and costs of being in relationships with each other. Favorable relative reward/cost ratios fuel relationship growth, whereas unfavorable ratios are associated with relationship deterioration. Relational dialectics researchers contend that the development of relationships is fraught with dialectical tensions that may serve to pull individuals in opposite directions simultaneously (Baxter & Montgomery 1996). Because tensions between these polarities shift over time, relationships are in a constant state of flux.

Deceptive Communication

Many interpersonal communication researchers recognize that deception is an integral part of social interaction. Many times ‘white lies’ are told to help co-interlocutors save face when potentially embarrassing circumstances arise in social situations. Two enduring questions concerning deceptive communication have attracted considerable research attention. One of these concerns the degree to which engaging in deception alters nonverbal behaviors; i.e. do truth tellers’ nonverbal behaviors differ systematically from those of individuals who are telling lies? Specific behaviors may be diagnostic of deceptive communication in specific individuals; however, no universal nonverbal indicator of deceptive communication has yet been identified. The second enduring question is the degree to which individuals are skilled at detecting deception. Research has shown that most individuals, including law-enforcement professionals, are not very adept at detecting deception.

Increasingly, social interaction is being accomplished through various communication technologies. These developments have prompted a concomitant increase in research aimed at understanding their potential individual and social effects. Research has sought to determine how computer-mediated communication (CMC) and face-to-face (FtF) interaction differ with respect the outcomes associated with their use (Walther 2010). Because text-based CMC filters out many nonverbal cues available to people engaged in FtF interactions, it is presumed that communication via textbased CMC is more task focused than is FtF communication. Although relatively cue-deprived, text-based CMC venues may be useful for initially encountering and screening potential friends and romantic partners, they apparently do not afford sufficient information for developing close relationships. Individuals who initially meet in the textbased CMC world usually elect to communicate with each other through other channels, e.g., phone and FtF encounters.

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• Shahaf Rocker Yoel   ORCID: orcid.org/0000-0002-9562-7935 1 ,
• Effrat Akiri   ORCID: orcid.org/0000-0001-6934-4096 2 &
• Yehudit Judy Dori   ORCID: orcid.org/0000-0001-7775-5872 1 , 3  

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This paper presents a study that examines the effect of a graduate course titled “Selected topics in interpersonal communication skills” on the students’ interpersonal communication skills as part of their 21 st century skills. Subject to the COVID-19 constraints, the course was taught online in the winter semester of 2021 to 46 students, who practiced in four groups. The students, who were studying at the Technion a science and technology research university for a research-oriented graduate degree in a science, technology, engineering, or mathematics (STEM) subject, attended synchronous bi-weekly 1-h lectures and 1-h practice sessions. The two research questions were as follows: (1) Did the interpersonal communication skills of the participants change following their participation in the course, and if so, how? (2) What was the effect of online learning on the students' interpersonal communication skills of (a) written and oral communication, (b) peer evaluation and feedback, and (c) self-reflection? Research tools included students’ self-presentations, questionnaires, peer assessments, and reflections during the course. Analyzing the data quantitatively and qualitatively, we found that the graduate students improved their interpersonal communication skills and benefited from exposure to a variety of knowledge and research fields, contributing to a sense of pride in their university affiliation. The students suggested adding a practical component on providing constructive feedback and rendering the course mandatory to all the graduate students in the university. The contribution of this research is the creation and favorable assessment of an online course that develops interpersonal communication skills among graduate students from a variety of STEM faculties.

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Introduction

This paper presents a study examining the effect of a specially designed graduate course on the students’ interpersonal communication skills as part of their 21 st century skills. There is a need to adapt the skills that students develop during higher education studies beyond the core professional skills (Duderstadt, 2008 ). To qualify graduates as competent employees, 21 st century skills must also be developed (Gover & Huray, 2007 ; Marbach-Ad et al., 2015 ). Indeed, developed countries emphasize adapting science and engineering education to the needs of the 21 st century employment world, as employers claim that some of the graduates do not have the skills required by advanced industries. Yet, there are not enough courses in the curricula to encourage the development of communication and teamwork skills, as a result, students do not get enough experience in these skills prior to their graduation (Lavi et al., 2021 ; Oosthuizen et al., 2021 ; Wilson et al., 2018 ).

Interpersonal skills in general and interpersonal communication skills in particular have been defined as vital by leading organizations of engineers and scientists in the world, as well as by a variety of engineering education forums (ABET, 2019 ; Bentur et al., 2019 ; NGSS Lead States, 2013 ). Studies have found a link between teaching methods and the development of different skills. Motivation and academic achievement have also been found to be related to teaching methods (Barak & Dori, 2009 ) or serve for developing 21 st century skills (Lavi et al., 2021 ), as well as providing students’ psychological needs, efficacy, and communication (Talmi et al., 2018 ). Teaching and learning methods that include collaborations and interactions between students and lecturers in a constructive learning environment predicted the development of decision making, creativity, and problem solving (Mintz et al., 2018 ). A course for engineering students for skills development in academia, which combined professional content alongside emphasis on skills development, promoted the students’ confidence, communication, and self-exposure in front of people. A semester-long course proved to be better than participation in a few short workshops in terms of continuous development of the skills (Lopes et al., 2015 ).

The management of our institute, the Technion, Israel Institute of Technology, has recognized the need to adapt to the challenges in the changing world by developing students’ 21 st century skills (Frenkel et al., 2009 ). Findings of a research on our institute graduates (Lavi et al., 2021 ) and ensuing management discussions raised the need to develop a course that encourages the development of interpersonal communication skills for research graduate students. In the winter 2021 semester, the experimental, elective course “Selected topics in interpersonal communication skills” was launched for the first time. Subject to the COVID-19 constraints, the course was taught synchronously online via the Zoom platform to 46 students, who practiced in four groups of about 12 each. Course assignments included preparing a short presentation titled “Who am I and what is my research?”. Each student presented their research in the small practice group and was provided with oral and written peer feedback. The students also practiced giving an “elevator pitch”—a brief, spontaneous, persuasive, self-presentation speech, aimed to spark interest in the research one is engaged in. Finally, each student wrote reflections during the course and at its end.

The aim of the study that accompanied the course was to examine the contribution of the course to the development of 21 st century skills of the graduate students studying for a research postgraduate degree. The structure and content of the course were adapted to the findings of (Lavi et al., 2021 ), whose research included about 1500 graduates and final year graduate students. These findings showed that interpersonal skills were developed the least, while general thinking skills and thinking skills from science and engineering centers developed at a much higher level.

Theoretical Background

We start by presenting multidisciplinary courses in higher education, followed by discussing 21 st century skills and how they are taught in higher education. Within the 21 st century skills, we focus on interpersonal and communication skills. Given the nature of the course, we close this section with a discussion on online teaching and learning during COVID-19.

Multidisciplinary Courses in Higher Education

While STEM studies in general and engineering studies in particular emphasize teaching of field-specific technical abilities, engineers in industry need non-technical abilities along multidisciplinary engineering perspectives (Marbach-Ad et al., 2019 ). Larsen and colleagues ( 2017 ), who devised a multidisciplinary course to help engineering students improve their non-technical skills, showed that the non-technical abilities students had gained from this course were extremely useful for a large portion of their professional lives following graduation. In a study involving engineering students from five majors—biology, computer science, environmental, materials, and mechanical engineering—researchers investigated an interdisciplinary course (Qattawi et al., 2021 ). The multidisciplinary teams in this course scored higher mean values in terms of team contribution and abilities than the single-disciplinary teams. As judged by industry experts, students who took the multidisciplinary course, regardless of their major, created engineering solutions that outperformed their monodisciplinary counterparts in terms of overall originality, utility, analysis, proof of concept, and communication abilities (Hotaling et al., 2012 ).

The Students Advancing through Involvement in Research Program at Lamar University, USA, takes a multidisciplinary approach to recruiting, retaining, and transitioning students to careers in STEM. The students in the program, who work in teams, develop a sense of connection and solidarity, as well as friendships that often last long after the program has ended. Students in each area can advance further as a group than they might have advanced alone, and they gain significant experience in teamwork and leadership, which are both highly marketable abilities in the STEM workforce (Doerschuk et al., 2016 ).

21 st Century Skills in Higher Education

Educators must acknowledge that the world outside the academia has changed. As graduated engineers need to master 21 st century skills, it is essential that policymakers have a solid understanding of what these skills are, how these skills can be taught effectively, and what educational technologies are available to teach them effectively. Kivunja ( 2014 ) referred to the 4Cs skills: (1) critical thinking and problem solving, (2) communication, (3) collaboration, and (4) creativity and innovation. Institutions are beginning to require training and professional development to ensure that educators they employ are familiar with the 4Cs and can effectively teach and assess these skills among their students. Moreover, there is a need to educate the general public about the importance of 21 st century skills (Kivunja, 2014 ).

In a study regarding critical 21 st century STEM competences at the workplace, five domains were identified as management skills: (1) problem-solving, (2) social communication, (3) technology and engineering, (4) system and time, and (5) resource and knowledge (Jang, 2016 ). The findings of the study suggest that current STEM education programs may provide insufficient preparation for students’ future employment needs and essential workplace skills. Engineering education should include a variety of learning experiences that help students build deep conceptual knowledge, apply professional skills, and participate in a variety of real-world engineering projects. However, engineering curricula and teaching techniques are frequently not aligned with these goals (Litzinger et al., 2011 ).

Interpersonal Communication Skills

Communication skills, which include listening, speaking, reading, and writing, are defined as the process by which people exchange ideas, emotions, and feelings in understandable ways (Hamilton, 2014 ). Khan and Colleagues ( 2017 ) described communication skills as the ability to convey messages clearly and concisely, transmit messages based on a common understanding between contexts and intended audiences. A successful communication process entails offering messages clearly and unambiguously. Dean and East ( 2019 ) noted that in the 21 st century general thinking capabilities and analytical-technical skills are no longer sufficient. Interpersonal skills are most important in today’s job market, where these skills are required to cope with challenges posed by growing system complexities. The students—the future employees—must think creatively so they can produce new ideas, solve problems and address challenges (Sahin et al., 2015 ).

Combining interpersonal skill and communication skill (Hargie, 2021 ), interpersonal communication is a complicated situated social process in which persons who have established a communicative relationship exchange messages to develop shared meanings and fulfill social goals (Burleson, 2010 ; Camilli & Hira, 2019 ). Interpersonal communication is the ability to communicate effectively at an interpersonal level. In this paper, we use the term interpersonal communication skill since it is an essential skill that contributes to success in personal and professional contexts (Hardjati & Febrianita, 2019 ; Hissey, 2000 ; Matteson et al., 2016 ; Zhao, 2019 ). Interpersonal communication processes cannot just happen; they are a process in which participants discuss their roles, apply verbal (oral) and non-verbal (body language) communication, and use text and visualization as means of written communication.

The Accreditation Board for Engineering and Technology (ABET), an organization that certifies college and university programs in STEM domains with focus on engineering, has defined a set of interpersonal skills that includes teamwork, communication, professionalism, lifelong learning, and time management (Shuman et al., 2005 ). Engineering students improved their interpersonal skills, which sustained over time after they were exposed to several skills that included giving and requesting feedback, coping with criticism, speaking in public, working in teams, solving problems, making decisions, and settling conflicts (Lopes et al., 2015 ).

Communication skills in all their forms, such as oral, written, listening, and interdisciplinary ones, are required for any engineer who wishes to practice their profession effectively (Riemer, 2007 ). Oral communication is the ability to express thoughts and ideas, and to demonstrate speaking skills in front of an audience. Writing complex memos, letters, and technical reports effectively and efficiently is known as written communication (Casner-Lotto & Barrington, 2006 ). It is critical for science students to study a communication curriculum that emphasizes written communication skills, such as spelling, grammar, audience analysis, clarity, concision, and correctness (Gray et al., 2005 ).

Online Teaching and Learning During COVID-19

The global COVID-19 epidemic has posed substantial challenges for higher education institutions around the world, driving an unexpected, urgent need to change university courses from face-to-face to online using digital technology. Teachers were encouraged to instantly try new teaching methods by creating effective learning settings and using online tools. Universities need to invest in their faculty’s professional development so that they are up-to-date on effective pedagogical methods that include the use of online technologies (Rapanta et al., 2020 ). Research at California State University, Long Beach, CA, USA, examined the challenges in an online course during the pandemic. The participants were faculty and students from six engineering departments. The findings revealed obstacles that have negative impact on online engineering education: logistical and technical constraints, privacy and security concerns, learning problems, and lack of training. Recommendations for educational stakeholders on how to close the gap in tools and technology and improve online engineering education were suggested (Asgari et al., 2021 ). Another study investigated the characteristics that are required for technology-mediated courses to meet their pedagogical goals. Differences between subjects that build technical and interpersonal skills in a technology-mediated environment were also investigated. Findings suggest that a teacher’s digital competency is a critical factor in determining the effectiveness of meeting their course’s pedagogical objectives. Furthermore, when changing a course to being technology-mediated, the transaction of interpersonal skill subjects is better than the transaction of the technical skill subjects (Joia & Lorenzo, 2021 ).

This section contains a description of the research setting, participants, tools, data collection, and analysis which uses a converged mixed methods approach that includes both qualitative and quantitative data collection (Creswell & Creswell, 2017 ).

Research Goal and Research Questions

The research goal was to examine the contribution of the course “Selected topics in interpersonal communication skills,” which was taught online during the COVID-19 lockdown, aiming to develop or improve postgraduate research students’ 21 st century skills, focusing on their interpersonal communication skills. The course was held at the Technion, Israel Institute of Technology, an academic institution in the northern part of Israel. The two research questions were as follows:

Did the interpersonal communication skills of the participants change following their participation in the course, and if so, how?

What was the effect of online learning on the students’ interpersonal communication skills of the following:

Written and oral communication

Peer evaluation and feedback

Self-reflection?

These research questions will be answered from both the perspective of students about their own perceptions and the perspective of their peers.

Research Setting and Participants

The study examined the graduate experimental course taught in winter 2021, which was titled “Selected topics in interpersonal communication skills.” Due to the COVID-19 epidemic constraints, the course was conducted synchronously during the 13 weeks of the semester, with bi-weekly 1-h lecture sessions and weekly 1-h synchronous practice. Online teaching utilized ZOOM Footnote 1 and Moodle. Footnote 2 Zoom is a software program developed by Zoom Video Communications for video meetings, which has become highly popular as an online meeting platform since the beginning of the pandemic. Moodle is a learning management platform, used as an online learning platform in schools, universities, and other sectors. The course timetable, content, and structure are presented in Table 1 .

Participants included 46 graduate students, of whom nine were female and nine male master’s students, and 16 female and 12 male doctoral students from various faculties (see Table 2 ). All 46 students participated in the online synchronous lecture sessions, while the hands-on practice took place in four parallel groups of 11–12 students, each led by a teaching assistant. All four teaching assistants were experienced and well-prepared to guide their students in practicing the targeted 21 st century skills.

Before the course started, the students had filled an expectation questionnaire. During the hands-on practice sessions, each student had three oral assignments to present: (1) a 3-min self-presentation research introduction, titled “Who am I and what is my research about?”; (2) an abstract of their research; and (3) a short, spontaneous “elevator pitch.” Following these sessions, a final product was submitted which included the student’s improved presentation and research abstract, along with a written reflection. Each week, two students gave their 3-min self-presentation or presented their abstract, and the group discussed the presented product. Each student then gave their written and oral feedback to their peers.

Research Tools

The research included four tools for collecting qualitative and quantitative data:

Opening questionnaire—All 46 students filled in a questionnaire regarding their expectations from the course. The questionnaire included demographic data, questions regarding their research topic, and the following open questions: (1) Why do you want to take this course? (2) What are your expectations from participating in this course? and (3) What is important for us to know in order to support you in the course?

Peer feedback—Students gave each other 912 feedback items during the course, half of which related to the presentations and the other half—to the abstracts. Submitted via Google forms, the feedback included the following open-ended questions: (1) Does the abstract include all the necessary parts? If not, what is missing? (2) Offer a point to preserve. (3) Suggest a possible improvement. (4) Was a visual representation used in the abstract? Did it contribute to understanding? There were also three closed questions on a 1–5 Likert scale relating to the students’ understanding, learning something new, and generating interest in the research.

Self-reflections—each student completed two reflections, one following the self-presentation and another following the discussion of the abstract. In total, 92 reflections were collected.

Teaching survey—24 responses were received to the standard institutional survey questionnaire, which students are requested to fill in at the end of the semester for each course. The survey included closed statements on a scale of 1–5 and open-ended questions.

We analyzed the qualitative data from the open-ended questions, feedback items, and reflections in three stages. In the first stage, we collected all the data from the open-ended questions and reflections in the questionnaires, as well as the feedbacks submitted via the Moodle platform. In the second stage, we divided the data into 2622 statements, each containing data from one subject. Finally, in the third stage, we identified the relevant theme and category for each statement. Within each main theme, we identified several categories that were mentioned by the students in their statements. Based on the literature, we divided the statements into four main themes: visual, content, emotional, and diversity (Akiri et al., 2020 ; Dangur et al., 2014 ; Dori & Sasson, 2008 ). In each theme, we searched for a category that was discussed in the literature. In the process of categorization, three science and engineering educators (the authors), who are highly experienced in conducting thematic analysis, took part in analyzing jointly in-depth 270 statements (about 10%) of the statements. This process was carried out to ensure the study’s validity and reliability, until 90% of consensus was reached.

Figures  1 ,  2 ,  3 , and  4 present the four main themes, their categories, and an example of a statement for each category. Figure  1 presents the visual theme, which relates to statements on visual aspects of the presentations and abstracts. The categories in the visual theme are pictures and charts, fonts and title, colors, overload, paragraphs, and animation.

The visual theme, its categories, and an example of a statement for each category

The content theme, its categories, and an example of a statement for each category

The emotional theme, its categories, and an example of a statement for each category

The diversity theme, its categories, and an example of a statement for each category

Figure  2 presents the content theme. This theme describes statements related to the content of the presentation or abstract, and its categories are self-presentation, clarity and understandability, interest, space and time limit, and sequence of the topics.

Figure  3 shows the emotional theme, which relates to emotions that students raised. The categories identified in this theme are stress, excitement, humor, attracting peers, storytelling, and feedback.

Figure  4 describes the audience diversity theme, which relates to the fact that the students in the course were from various faculties and had different background knowledge. The categories in this theme are professional concepts, simplification, and meeting the challenge.

The results of the study are presented with respect to the two research questions.

Change in Interpersonal Communication Skills Following Participation in the Course—Self- and Peer-reflection

We examined the effect of the course on the participants’ interpersonal communication skills through their self-report, starting with their expectation before the beginning of the course, followed by peer reflections after each presentation, and ending with self-reflections during the course.

Opening Questionnaire

The findings that emerged from the opening questionnaire regarding the expectations before the beginning of the course are presented in Table 3 .

Peer Feedback

We present a quantitative analysis of the feedback peers provided on the abstracts, students had presented. Figure  5 shows data of the Likert scale items on the 486 feedback items that were provided along the six-week timeline during which the abstracts were presented.

Mean change in abstract feedback throughout the semester

A total of a repeated measures was performed to compare the effect of the course during these 6 weeks on the following three parameters: (a) understanding the abstract, (b) learning something new from the abstract, and (c) the interest the abstract creates. There was a statistically significant difference between the six weeks only in understanding the abstract ( F (1) = 16.889, p  < 0.00). The gradual increase of understanding the abstract over the weeks indicates that the students learned from their peers’ performances and improved throughout the semester so that each week the abstracts were better.

Self-Reflections After the Presentation

In the next stage, we examined the close- and open-ended questions of the self-reflections that the students wrote after discussing their presentations and abstracts. We analyzed the open-ended questions by dividing the answers into statements and classifying the statements into the themes and categories that were identified previously. Figure  6 lists the four themes, each accompanied by two examples: one related to the self-reflection on the presentation and the other—to the abstract (Table 6 ). Table 7  in Appendix 2 presents all the categories in each theme with a statement example of a self-reflection on the presentation and another example of a self-reflection on the abstract.

The themes in the self-reflection with one example of a self-reflection statement on a presentation and another one on an abstract

Development and Changes in Themes Throughout the Course

Table 4 presents the theme and category probed by each research tool along the course timeline, showing the development process from the opening questionnaire toward the end of the course.

There are five tools, which were used as the course progressed: the opening questionnaire, the peer feedback—presentation and abstract, and the self-reflection—presentation and abstract. A V symbol in a table cell indicates that a category was found to be expressed in the corresponding tool.

Figure  7 presents for each of the four themes the number of categories (number of Vs in Table 4 ) that students mentioned in each of the five tools, showing an overall increase in each category as the course progressed.

The repetition and development of categories during the course

We added the perspectives of the lecturer and teaching assistants to the results from the research tools reported by the student reflections and peer feedbacks. From the lecturer and teaching assistants’ point of view, the course has contributed to the students by improving their interpersonal communication skills. Students’ critical thinking, self-reflection, and peer feedback improved every week. In addition, we noted that the submissions improved from one week to the next, as students learned from comments their peers in the practice group had provided. The improvement along the semester is evident in both peer feedback self-report (Fig.  5 ). The fact that over time the participants’ statements included new categories, demonstrated that the students had developed their analysis, feedback, and reflection skills during the course.

The Effect of the Online Learning During COVID-19 on Students’ Interpersonal Communication Skills

We examined the effect of the online learning during the COVID-19 lockdown on the participants’ interpersonal communication skills through their self-report. We analyzed the data from the standard institutional teaching survey that the students filled in at the end of the course, as well as the statements in the opening questionnaire, peer reflection after each presentation, and self-reflection during the course. We looked for statements regarding the fact that the course was online using Zoom and statements that related to the COVID-19 lockdown and its effects.

Teaching Survey

At the end of the course, students were requested to respond to the standard institutional teaching survey, in which the student ranked each question in a scale of 1 (to a very small extent) to 5 (to a great extent). The survey average results for each question are shown in Fig.  8 . We received 24 responses. The responses demonstrate the respondents’ opinions regarding the course lecturer’s preparedness, organization, clarity, and interest. The respondents (97%) answered that the lecturer arrived ready (average 4.9 of 5.0), organized (average 4.7), and the explanations were clear (average 4.7). The level of interest in the lectures was high or very high in the opinion of 71% of the respondents (average 3.9). The respondents’ opinions regarding atmosphere, student involvement, and relevance of the material studied, with over 80% of the students responding very positively (atmosphere average 4.75, active learning average 4.75). On the relevance of the material studied, over 80% responded “agree” or “strongly agree” (average 4.33).

Respondents’ opinions regarding the course in the teaching survey

Contributions to parts of the course, coordination between lectures and exercises, contribution of homework and course site are also shown in Fig.  8 . Over 60% of the students strongly agreed that there was coordination between lectures and exercises (average 4.33). Over 85% strongly agreed that the homework contributed to the course (average 4.75), and they agreed that the exercises and digital resources contributed to the course (average 3.96).

Although the course was given online during the challenging COVID-19 lockdown, the feedback from the students in the teaching survey was highly positive in all the parameters. The students though that the teaching team came well-prepared, the course was understandable and interesting, and the practice was effective. According to this feedback, it seems that the fact that the course was given remotely online rather than face-to-face did not have a significantly adverse effect on the students’ learning experience.

From the lecturer and teaching assistants’ perspectives on the effect of the online learning, at the beginning of the course, we were concerned that the challenge of developing interpersonal communication skills through online teaching is too difficult to overcome. This concern gradually faded as the course progressed, as despite the physical distance, professional and personal friendships were formed among the students in the group, as well as between students and the teaching team. These friendly relations continued even after the course ended, when it was already possible to meet face-to-face. The online sessions allowed students to experience online communication, which is a necessary 21 st century skill whose centrality increased during the COVID-19 pandemic.

Statements Regarding Educational Technology

As the course was delivered remotely during the lockdown following the COVID-19, the challenge was to develop students’ interpersonal communication skills, giving and receiving feedback, and developing presentation abilities and personal reflections, all through distance learning using Zoom. Table 5 presents for each research tool the number of statements that is related to educational technology. Of the 4403 statements, only 45 (1%) mentioned distance learning, Zoom, or COVID-19. Hence, the fact that the course was given entirely online was not a limitation for students; they succeeded in the learning task even though it was online. The students were able to develop interpersonal communication skills despite the lack of physical closeness, testifying to the success of the process they went through in the course despite the digital media through which it was conveyed. The course success can be partly attributed to the students’ involvement, which was achieved as they gave each other written and oral feedback. This requirement for a bimodal feedback provision required the students to think over what they said and wrote. The course team gave clear instructions and questions that guided the feedback provider what to focus on, e.g., starting with positive feedback and then providing feedback for improving. There was a culture of respect while listening to the feedback. The students noted that it was important for them to experience learning via an online course, as this would train them to master this mode of learning, which is expected to intensify following the COVID-19. They experienced presentations in Zoom, participation in conferences, and respectful interpersonal communication despite the physical distance.

Of the 45 statements related to distance learning, Zoom, or COVID-19 that the students came up with, 17 statements were in the contexts of advantages, 17 in the contexts of disadvantages, and 11 were neutral statements. There were more (29) statements that related to educational technologies at the presentation stage, where Zoom was used, than at the abstract stage (13 statements), submitted through Moodle.

An example for advantage in a statement in the self-reflection on the presentation is as follows: “ In the presentation I realized that I could overcome my fear and speak with confidence. In this respect, I think it was easier for me to perform via Zoom than directly in front of an audience ” (code 4222). An example for a disadvantage statement in the peer feedback to the presentation is: “ Unfortunately, I could not be in your presentation and could not see the recording due to technical issues ” (code 3422 to code 11,421). Finally, a neutral statement example in the peer feedback to the abstract is: “ The abstract is well edited, easy to understand, and its subject is contemporary, very neatly arranged, and the beginning of the subject (on the COVID-19) was very appealing, the key words [were] very helpful in understanding ” (code 9222 to code 7211).

Based on several studies, interpersonal communication skills are a dominant part of 21 st century skills (Hargie, 2021 ; Sahin, 2009 ), and are essential and valued for competing in today's increasingly complex workplace (Zhao, 2019 ). In agreement with our findings, the contribution of a similar course, which was provided to improve students’ interpersonal skills in parallel to content field has also been found to be effective in a study of Lopes and colleagues ( 2015 ). Dmoshinskaia and colleagues ( 2022 ) reported that students were interested in a course content although most of it was presented by the students themselves. They felt it was effective, emphasizing the importance of their active participation and feedback providing. Interpersonal skills development value is rising (Camilli & Hira, 2019 ) as well as working in groups and collaboration (Marbach-Ad et al., 2019 ). Our course “Selected topics in interpersonal communication skills” was found to be effective and beneficial to the STEM graduate students, even though they came from various faculties, degrees, and stages in their research career. Exposure to a variety of research faculties and variety ways of thinking encourages not only the way self-reflection is presented, but also the thinking about different students’ developmental possibilities. In the course, the interpersonal communication skills were developed during class discussions in the exercises, which also facilitates the development of thinking. The facilitation of the practice groups enables the development of interpersonal communication skills, providing and receiving feedback in a respectful and constructive manner and enabling teamwork, where the entire group mobilizes to contribute to the presenter constructive comments to improve their work, thereby contributing to the skills of our institute graduates in the world of employment (Marbach-Ad et al., 2015 ). As described earlier, engineers who wish to do well in their jobs should clearly communicate their ideas and possess good oral, written, listening, and multidisciplinary communication skills (Riemer, 2007 ). The participants of our study, practiced oral communication by expressing thoughts and ideas, present their research in-front of an audience and gave oral feedback to their peers during the meetings. They also gained experience in written communication by writing their abstract, as well as peer feedback and self-reflection, as suggested by others (Casner-Lotto & Barrington, 2006 ). All those experiences are critical communication skills for science and engineering students (Gray et al., 2005 ; Lavi et al., 2021 ).

Exposure to the variety of studies conducted at our institute contributes to the expansion of the participants’ knowledge as well as to their sense of pride, as they are part of the institute. Students could also feel how their research is perceived as unique and innovative and had the opportunity to learn how to tailor the presentation of their research to the general public.

The reported research findings on the alumni at our institute (Lavi et al., 2021 ) showed that interpersonal skills developed at the lowest level compared with scientific-engineering and general thinking skills. We followed the data throughout the course from its beginning, through feedbacks and reflections students provided during the course, all the way to the teaching survey at the end of the course. We found that interpersonal skills and communication skills can be improved as an integral part of graduate studies. The results of the study have demonstrated that interpersonal skills can develop or progress even during a one semester course. It would be worthwhile and interesting to follow the students during several semesters to examine the long-lasting effect of this course. The fact that the course was online due to the COVID-19 lockdown required the course team to adapt in order to ensure that the interpersonal communication skills were developed despite the physical distance. According to recommendations of other researchers (Rapanta et al., 2020 ), the teaching staff in universities have to continue their professional development in order to be able to apply the most up-to-date pedagogical techniques, including the use of online technology. We followed this recommendation and incorporated online technology in the course, not only due to the pandemic, but also to prepare the future engineers and scientists to communicate well with their superiors and peers via similar platforms.

Analyzing the students’ reflections, we see the effect of the course in four themes: visual, content, emotional, and audience diversity. Within each theme, we identified different categories that were developed during the course. Additionally, the lecturer and teaching assistants witnessed the contribution of the course to the students, and specifically to improvement of their interpersonal communication skills, which was evident by the weekly presentations, the peer feedbacks, and their self-reflection.

The limitation of this study is the fact that the results are based on the first semester of teaching the course. Since then, we taught the course in the following semester in a hybrid format. After the third time we will teach the course, we plan to analyze and re-examine the findings, this time from all the three course cohorts. Another limitation is the participants’ background: all are from STEM domains. A future study should examine the effect of this course on students from another university with non-STEM domains, and/or with undergraduate students, in addition to graduate and postgraduate students who participated in our study. It is also recommended to check the effect of this course on interpersonal communication skills when taught face-to-face or hybrid rather than online only.

The current study presented the development and improvement of STEM graduate students’ interpersonal communication skills during a dedicated one-semester online course and their positive feedback on the course.

The contribution of this research is the design, implementation, and favorable assessment of this course that aims to develop interpersonal communication skills among graduate students from a variety of STEM domains. This study highlights the importance of explicitly teaching interpersonal communication skills to a heterogeneous population of STEM graduate students.

Based on the favorable results reported here, we recommend that managements of higher education institutions incorporate teaching of interpersonal communication skills into STEM graduate courses and dedicate a course in the spirit of “Selected topics in interpersonal communication skills” to the curriculum, which follows the design principles presented here. The course can be taught online, as described in this study, or face-to face. Our recommendation is, to the extent possible, to combine online and face-to-face lessons so students get to practice both skills.

Data Availability

The dataset generated and analyzed for the current study is not publicly available due to privacy reasons but is available from the author on reasonable request.

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Yoel, S.R., Akiri, E. & Dori, Y.J. Fostering Graduate Students’ Interpersonal Communication Skills via Online Group Interactions. J Sci Educ Technol 32 , 931–950 (2023). https://doi.org/10.1007/s10956-022-09998-5

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Communication, the Heart of a Relationship: Examining Capitalization, Accommodation, and Self-Construal on Relationship Satisfaction

Priscilla maria de netto.

1 Department of Psychology, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Subang Jaya, Malaysia

Kia Fatt Quek

2 Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Subang Jaya, Malaysia

Karen Jennifer Golden

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The raw data of this research will be made available by the corresponding authors upon request. Further enquiries can be directed to the corresponding authors.

The study of processes that enrich positive relationships has been an under-researched area within positive psychology practice. The way an individual responds during couple conflicts (accommodation response) and toward the disclosure of good news of a partner (capitalization response) has been linked to relationship quality. Although the accommodation and capitalization communication processes are part and parcel of our everyday lives, the two processes have been examined separately and dominated by the Western perspectives in past research. Prior work has suggested that Western and Asian cultures differ in expressing and perceiving beneficial communication behaviors. Yet, it is still unclear which accommodation and capitalization responses matter the most from an Asian lens. To date, there is no research examining these interconnected variables simultaneously in Asia, specifically in Malaysia. In this study, two forms of communication processes, namely, (1) accommodation and (2) capitalization, were explored concurrently to disentangle the unique associations and influence on relationship satisfaction. This study also sought to understand the moderating effects of culture in terms of interdependent self-construal on the link between these two communication processes and relationship satisfaction. Responses of 139 Malaysians in dating relationships between the age of 18 and 30 years ( M age = 23.15) were collected through online surveys. An active and constructive reaction was captured as the most favorable response through both the capitalization and accommodation processes. Prominently, an active-constructive capitalization response bore the strongest influence on relationship satisfaction above and beyond other responses. A passive and constructive response was revealed only fruitful for disclosures of positive news and not during conflicts. Conversely, in the destructive paradigm, passive-destructive responses were the most detrimental factor in relationships compared to other destructive responses. The results also uncovered that interdependent self-construal did not moderate the two forms of communication processes. However, the findings discovered unexpected individual and cultural variations. This pioneering study is a noteworthy addition to the positive psychology literature from an Asian standpoint. It highlights the significance of not only protecting relationships through better conflict management but also enriching relationships by capitalizing on the positive aspects across the lives of the couple, ultimately providing a greater holistic insight into cultivating flourishing lives.

Introduction

“ Man is by nature a social animal … Anyone who either cannot lead the common life or is so self-sufficient as not to need to, and therefore does not partake of society, is either a beast or a god .” –Aristotle

The long-asserted avowal of Aristotle is not an unfamiliar statement to society. As social beings, we are wired to connect (Lieberman, 2013 ), and our relationships are the essence of a happy and flourishing life (Valliant, 2002 , 2012 ). Lieberman ( 2013 ) unmasked that our need to connect is as fundamental as our need for food, water, and shelter. Neuroscientists discovered that our brain responds to social pain and pleasure in the same powerful way as to physical pain and pleasure (Eisenberger, 2012 ; Hsu et al., 2015 ). The fact that we are wired as such means that our physical, emotional, and mental well-being depends on the positive interpersonal relationships in our everyday lives (Fishbane, 2007 ; Luong et al., 2011 ). In particular, our romantic relationships, which are seen as a near-universal need across cultures and various ages, have a powerful influence on our well-being (Jankowiak and Fisher, 1992 ; Kansky, 2018 ; Fletcher et al., 2019 ).

Evidence also recognizes that the impact of the relationship of an individual on well-being is contingent on the cultural values, orientation, and norms of a person germane to the social and interaction context in which the relationship exists (Kim et al., 2008 ). In general, positive psychology research studies around the world have been largely based on Caucasian samples, and more research is recommended to explore diversity in the science of positive psychology (Rao and Donaldson, 2015 ). Yet, the influence of culture on specific patterns of positive interactions regarding the realm of dating relationships in Malaysia and throughout Asia is relatively untapped. Notably, there has been a gap with limited positive psychology research and practice in Malaysia (Hashim, 2013 ; Hendriks et al., 2019 ).

The way an individual responds during couple conflicts (accommodation response) (i.e., Rusbult et al., 1991 ; Crowley, 2006 ) and toward disclosure of good news by a partner (capitalization response) (i.e., Gable et al., 2004 , 2006 ) has been linked to relationship satisfaction and stability. More specifically, constructive accommodation and capitalization responses through couple conflicts and triumphs are associated with greater relationship well-being (Gable et al., 2004 ). Although the accommodation and capitalization communication processes are part and parcel of our everyday lives, these two processes have been examined separately and dominated by the Western perspectives in past research. Prior work has suggested that Western and Asian cultures differ in expressing and perceiving beneficial communication behaviors (e.g., Wang et al., 2010 ; Choi et al., 2019 ). Of concern, it is still unclear which accommodation and capitalization responses matter the most from an Asian lens thus far. To date, there is no research examining these interconnected variables simultaneously in Malaysia and across Asia. In this exploratory study, two forms of communication processes, accommodation, and capitalization were explored to disentangle the unique associations with relationship satisfaction, contributing to positive psychology insights for enriching relationships in an Asian context, specifically in Malaysia. Since Malaysia is a country with a melting pot of ethnicities and unique historical influences (Nagaraj et al., 2015 ; Park, 2015 ; The Malaysian Administrative Modernisation Management Planning Unit, 2016 ), this study may offer a different and novel positive psychology perspective to the constructs understudied. This study also sought to understand the moderating influence of culture in terms of self-construal on the link between these two communication processes and relationship satisfaction.

Literature Review

Romantic relationships, satisfaction, and communication.

There has been a great deal of literature examining overall relationship satisfaction and its consequences due to the considerable impact of romantic relationships on well-being (Karney and Bradbury, 1995 ; Bradbury et al., 2000 ; Dush and Amato, 2005 ; Fincham and Beach, 2010 ; Gomez-Lopez et al., 2019 ). When relationships are satisfying and fulfilling, couples are happier and healthier (Proulx et al., 2007 ), but when thwarted, other pillars of well-being can be jeopardized, such as mortality (Robles et al., 2014 ) and mental health, for example, increase in depression and anxiety symptoms (Snyder et al., 2005 ). Notably, the most prominent research on relationship satisfaction has been The Harvard University Adult Study of Development, the lengthiest longitudinal study in the positive psychology literature of the world with more than 80 years of research. This research called to the attention of audiences widespread regarding the importance of relationship satisfaction for flourishing lives as they found individuals in more satisfying marriages at age 50 had greater mental, emotional, and physical health at age 80 (Valliant, 2002 , 2012 ; Waldinger and Schulz, 2010 ; Waldinger et al., 2014 ). Hence, not surprisingly, couple satisfaction has been viewed as the gold standard for assessing interventions to alleviate relationship distress and sustain thriving relationships (Fincham et al., 2018 ).

Relationship satisfaction has often been referred to as the global relationship measure (Tam et al., 2011a ) and tends to be used interchangeably in the literature with terms such as relationship success, well-being, happiness, adjustment, and quality of a relationship (e.g., Vangelisti, 2004 ; Fincham and Rogge, 2010 ; Fincham et al., 2018 ). A satisfying relationship has been identified as a significant predictor of relationship well-being and longevity (Barnes et al., 2007 ; Ruffieux et al., 2014 ), yet it can feel like an unsolvable riddle to many couples. Given the strong predictive connection between relationship satisfaction and important life implications, it is critical to explore why some relationships lead to satisfaction and some fail? Why does a once loving and promising relationship break down over time? Interestingly, longitudinal (Karney and Bradbury, 1995 ; Gottman and Silver, 1999 ; Byers, 2005 ) and cross-sectional (Woodin, 2011 ) studies have unearthed that communication is pivotal in solving this riddle.

Communication has been found to be the bedrock or the “heart” in supporting and promoting relationship satisfaction (Gottman and Krokoff, 1989 ; Gottman and DeClaire, 2002 ; Markman et al., 2010 ; Hiew et al., 2016 ; Ogolsky et al., 2017 ), with recent findings linking satisfaction with constructive responses in conflicts (accommodation) and sharing of personal triumphs (capitalization). Within the Malaysian context, good communication has been reported as a core contributing factor to harnessing a happy and satisfying marriage (Abidin, 2019 ; Noor et al., 2019 ), thereby making a lack of effective communication and misunderstandings being one of the main reasons for relationship dissolutions (National Population Family Development Board Malaysia., 2016 ). On top of that, marital research experts have suggested that it is not the sheer frequency of positive to negative communication behaviors that influences the satisfaction of a couple, but the ratio of positive behaviors outweighing negative behaviors, 5:1, that leads to satisfaction (Gottman and Levenson, 1992 ; Gottman and Gottman, 2017 ). However, what is viewed as positive communication and rewarding in Western cultures may look different in Asian cultures.

Researchers over the years have argued that Western and Asian cultures differ in how they express and perceive beneficial communication behaviors (e.g., Wang et al., 2010 ; Williamson et al., 2012 ; Yum et al., 2015 ; Wang and Lau, 2018 ; Rajaei et al., 2019 ). Further, Finkle et al. ( 2017 ) have also surmised that favorable responses need to be tailored to the unique situational context of the couple and that responsiveness (i.e., showing understanding, care, and validation) would not be entirely universal to all circumstances. Thus, the maintenance of a satisfying relationship cannot be fully understood and appreciated without sufficient knowledge of the cultural underpinnings of communication in romantic relationships and specific situational contexts. While a few studies have examined certain variables and couple satisfaction in Malaysia (e.g., Hoesni et al., 2016 ; Abdullah et al., 2017 ; Abidin et al., 2018 ), knowledge about the psychology of positive communication processes through conflicts and triumphs and how culture impacts these interactional processes are rather oblique.

Communication and Self-Construal

An underlying assumption of this current research was that individuals who vary in culture in terms of self-construal also differ in the way they perceive beneficial responses of their partner. Culture influences the behavior of an individual indirectly through molding personality dispositions such as self-construal (Yum, 2004 ), and research has shown that the variations in communicative behaviors could be explained by considering self-construal (Markus and Kitayama, 1991 ). Self-construal signifies the culturally contingent beliefs, feelings, and actions of an individual related to the understanding of the self as associated to others, in terms of members of in-groups (interdependence; InterSC) or separate from others (independence; IndSc) (Markus and Kitayama, 1991 ; Cross et al., 2011 ). The dominant self-construal of an individual is fundamentally driven by an individualism-collectivism cultural environment (Triandis, 1995 ). Generally, Western cultures adopt individualistic values while Eastern cultures are described to hold collectivistic values (Hofstede, 2001 ). In individualistic societies, people lean toward developing an independent self (IndSc) and value unique feelings and ideas, where asserting personal desires, goals, and emotions are favorable (Markus and Kitayama, 1991 ). Contrarily, people in collectivistic societies tend to view the self as interdependent with values of relational harmony and are socialized to accommodate groups and subordination of personal desires (Morling et al., 2002 ).

While verbal expression and direct communication is common practice in IndSc dominant cultures (Kim and Markus, 2002 ), indirect and less expressive communication is preferred by InterSc cultures as verbalizing internal states may be seen as disruptive to group harmony (Kim and Sherman, 2007 ; Ma-Kellams and Blascovich, 2012 ). Therefore, people in Malaysia who are traditionally in a collectivist society (Hofstede, 2001 ; Ting and Ying, 2013 ) would presumably hold a more dominant InterSC and may use and prefer different communicative behaviors compared to individualistic societies. Evidently, Yum et al. ( 2015 ) found that Malaysians use less direct communication and self-disclosure to express their commitment and affection compared to Americans. Moreover, Malaysians place great weight on the collective well-being (Kennedy, 2002 ) and tend to practice caution and indirectness in daily communication (Bakar et al., 2007 , 2014 ). Thus, the Malaysian culture inhibits assertiveness and confrontational behaviors to maintain harmony within relationships (Kennedy, 2002 ). This knowledge suggests that the culture of an individual with respect to the dominant self-construal may impact the type of approach and how efficacious communication behaviors are anticipated to be. Thus, the positive association between active communication behaviors (e.g., positive verbal expression) and the negative association between passive communication behaviors (e.g., withdrawal from the conversation), with relationship satisfaction in Western societies, may not be universal to Asian societies, particularly in the Malaysian cultural atmosphere.

Communication Through Conflicts: Accommodation, Self-Construal, and Satisfaction

Unraveling the mystery surrounding the riddle of achieving satisfying relationships is even more perplexing when communicative behaviors may operate differently in a different context. A growing body of literature has examined communicative processes within conflictual contexts, namely, accommodative behaviors, which is described as inhibiting natural reflexes of reacting negatively to the transgressions of a partner and instead respond positively (Rusbult et al., 1991 ; Overall and Sibley, 2008 ; Overall et al., 2010 ). Irrespective of how compatible partners are in a relationship, conflict is inevitable (Rusbult et al., 1991 ), and all partners will occasionally behave in an unpleasant manner such as yelling or saying hurtful remarks (Yovetich and Rusbult, 1994 ; Kilpatrick et al., 2002 ; Crowley, 2006 ). To protect the quality of the romantic relationship in the long run, couples must override the urge to act destructively during conflicts, hence the term accommodation (Campbell and Staton, 2013 ). The accommodation model is measured along two dimensions and is differentiated into four types of responses: active-constructive (discussing problems and attempts to resolve the problem), passive-constructive (silently forgives and waits for things to improve), active-destructive (criticizing and threatening to leave the partner), and passive-destructive (ignoring the partner and problem) (Rusbult et al., 1982 , 1991 ; Overall et al., 2010 ).

Consider this example scenario in daily life where Liam raises his voice toward Camelia in a conversation after a long day at work. Camelia “bites the bullet” and reacts active-constructively or passive-constructively by either asking him whether he needs to talk about his day or calmly shrugging it off. Constructive responses, like that of Camelia, have been linked to better couple functioning in prior work (Rusbult et al., 1982 , 1991 ). To elaborate more, the pioneer study by Rusbult et al. ( 1991 ) revealed that responding in both an active or passive constructive manner during conflicts and toward the transgressions of a partner preserves relationship satisfaction and stability. However, a later study discovered that only active-constructive responses were associated to elevated feelings of closeness, value, relationship stability, and satisfaction (Overall et al., 2010 ). Conversely, passive-constructive responses did not produce the same benefits, were less noticed, and results were parallel to harmful implications of destructive responses (Overall et al., 2010 ). Such counterintuitive findings carry doubts and uncertainty surrounding the passive-constructive communication in conflicts within Western society. There is even greater ambiguity regarding these communicative behaviors in Asian society, whereupon the accommodation research is rather scarce.

When discussing problems, those with InterSc (i.e., Asian societies) have been typically associated with an indirect communication style (Gudykunst and Matsumoto, 1996 ), where the listener is expected to deduce the unexpressed meaning of the speaker through non-verbal cues (Ting-Toomey, 1999 ). In contrast, those with IndSc (i.e., Western societies) tend to disclose thoughts and feelings more explicitly (Ting-Toomey, 1999 ). Other empirical support exists in the view that members from Asian cultures deter from expressing distress as it may threaten relationship ties due to the possibility of burdening others or conflicts (Wang et al., 2010 ), which prompts them to oblige to others more (Oetzel and Ting-Toomey, 2003 ). Of the few studies regarding accommodation in Asia, the only exception in the literature examining self-construal in accommodative dilemmas is by Yum ( 2004 ) on 397 individuals from the United States, Hawaii, and Korea. Yum ( 2004 ) found that both IndSC and InterSC were inclined to respond in an active-constructive and passive-constructive manner in dating relationships, suggesting that accommodation may be a culturally universal behavior in dating relationships. However, those with InterSC enacted more passive-constructive communicative behaviors. Interestingly, Yum ( 2004 ) also found that some participants were bicultural (high in both InterSC and IndSC) and marginal (low in both InterSC and IndSC), with biculturals being better communicators compared to those with high InterSC. Yum ( 2004 ) explained that the disparities and new findings may be due to modernization, implying that behaviors of people are influenced by the degree of democratization, industrialization, and westernization within the environmental culture they live in. While a few studies in Malaysia have investigated couple communication tactics in conflicts (e.g., Tam et al., 2011b ; Abdullah et al., 2017 ), there is no literature focused directly on accommodation processes. It is also not yet known to what extent dating partners in Malaysia may perceive beneficial responses in managing conflicts. Henceforth, based on the findings and reasoning above, Malaysians may find both active and passive constructive accommodation responses as favorable reactions during conflicts, which would positively relate to their relationship satisfaction.

Communication Through the Good Times: Capitalization, Self-Construal, and Relationship Satisfaction

Similar desirable relationship outcomes exist for positive relational communication. A wealth of research has focused on negative relational processes such as conflict, problem solving, and criticism (e.g., Rusbult et al., 1991 ; Gottman, 1998 ; Johnson et al., 2005 ), while the positive relational processes have often been left to lie fallow. Recent work has finally stressed the advantages of the positive side of relationships (Gable et al., 2004 , 2006 ; Lambert et al., 2012 ; Pagani et al., 2020 ), providing a fresh positive psychology perspective of not only minimizing threat or lasting harm to satisfaction (i.e., conflict management) but also integrating relationship enhancement processes (i.e., positive communication, and responsiveness) (Ogolsky et al., 2017 ; Warren et al., 2017 ). In particular, the process of capitalization, which is a practice of communicating personal positive events to others (Langston, 1994 ; Gable et al., 2004 ), has begun to gain much attention and is a focus of this current study. This gap is noteworthy as past studies have established that individuals share more positive events with others daily, with an estimation of 60 to 80% more compared to negative events. Hence, showing that capitalization opportunities and positive events occur more often than negative events and conflicts in everyday life (Gable et al., 2004 ; Gable and Haidt, 2005 ; Gable and Reis, 2010 ). In fact, responses toward positive events were a better predictor for relationship well-being than responses toward negative events (Gable et al., 2006 ).

Happy events (e.g., a promotion, a great cup of coffee, and compliments from others) usually motivates social retelling of those positive circumstances (Peters et al., 2018 ). For example, when Camelia receives a promotion at work, she would be motivated to share this news with her partner Liam. Provided that the reaction of Liam to the good news of Camelia was responsive, the capitalization process can be contagious, benefiting both parties and would promote future capitalization attempts, positive responses, and lasting relationship well-being (Peters et al., 2018 ). Among the various ways of responding to positive events, Gable et al. ( 2004 ) adapted the accommodation model to four types of capitalization responses. Hence, constructive capitalization responses can either be active (showing interest and enthusiasm) or passive (understating the event), whereas destructive capitalization responses may be either active (criticizing and invalidating event) or passive (showing disinterest and ignoring the event) (Gable et al., 2004 , 2006 ). To provide more context, the first investigation of capitalization in dating couples found that only an active-constructive response of a partner had a positive correlation with relationship satisfaction while active-destructive, passive-destructive, and passive-constructive responses showed an opposite effect for relationship satisfaction (Gable et al., 2004 ). Other studies have also found an association between relationship satisfaction and enthusiastic responses to the triumphs of a partner (e.g., Logan and Cobb, 2013 , 2016 ; Woods et al., 2015 ), but are all skewed to the Western perspectives.

Of note, a favorable response in one culture may not look the same in another as cultural differences could facilitate or impede capitalization processes (Choi et al., 2019 ). Wang et al. ( 2010 ) documented that Asian-Americans utilized support and perceived support for positive events as less helpful than their European-American counterparts. This result may be due to East Asian cultures viewing humility as prosocial, whereas capitalization can be seen as an individual “showing off,” being boastful, and threatening harmony (Markus and Kitayama, 1991 ; Yamagishi, 2011 ; Choi et al., 2019 ). Nevertheless, considering that being understood and validated by other people is considered the quintessence of the interdependent self (Markus and Kitayama, 1994 ), supportive and constructive responses may still carry weight for East Asians (Choi et al., 2019 ). A less emotionally expressive response, such as a passive-constructive response, could allow people from a collective culture to capitalize and experience appropriate emotional support without being overzealous, which might make them feel uncomfortable (Taylor et al., 2007 ). Accordingly, research by Kim ( 2015 ) on cultural distinctions in capitalization responses between Asian-Americans (AAs) and European-Americans (EAs) revealed that there were no differences in InterSC and only marginal significant differences in IndSC between cultural groups. For a satisfying relationship, both cultural groups favored active-constructive responses the most, implying the global advantages of active-constructive responses. Moreover, AAs did not respond adversely to passive-constructive responses, presumably indicating that a passive-constructive response may not be a detrimental response for AAs. Currently, it is unclear if replicable findings will be seen for individuals who are in dating relationships in Malaysia. To our knowledge, there is no research identified examining capitalization and romantic relationships in Asia, but there was one research that utilized a Chinese translated capitalization scale within father-child relationships of college students in China (Guo et al., 2018 ). Guo et al. ( 2018 ) reported both active and passive responses of fathers were positively linked to the intrapersonal health and well-being of their children, whereas the reverse impact was found for the two destructive responses. Thus, based on prior empirical and theoretical work, it is fair to say that there could be possible differences between perceived favorable responses for capitalization processes in romantic relationships between the Western and Asian cultures.

Current Study

Taken together, these lines of studies suggest that relationship satisfaction is not governed by the simple occurrence of conflict or positive events in the lives of a couple but by the capability of the couple to communicate about those events effectively. As evident from prior literature, the communication processes of both accommodation and capitalization responses may vary across cultures. Each form of communication process provides an important piece to move closer to understanding the relationship satisfaction enigma. However, both accommodation and capitalization have been researched independently and dominated in Western countries, which creates a drawback in comprehending the full picture of relationship functioning in Asian countries. Correspondingly, self-construal is also seen to be a moderating influence on both accommodation and capitalization processes. To the best knowledge of the researchers, to date, there is no identified research investigating these variables simultaneously, and the only study found in peer-reviewed publications was by Gable et al. ( 2004 ). On the one hand, the researchers discovered that only responding in an active-constructive manner toward the capitalization attempts of a partner correlated positively with satisfaction, while the other three responses yielded opposite effects. On the other hand, Gable et al. ( 2004 ) uncovered that both active and passive constructive accommodation responses during conflicts were positively linked to satisfaction with good agreement to the initial findings of Rusbult et al. ( 1991 ). Thus, results suggest that these communicative behaviors may not be parallel to each other and may depend on the situational context.

However, Gable et al. ( 2004 ) did not examine any cultural aspects, and their results were weighted toward the Western perspective. Thus, this current study would be the first not merely in Malaysia but the overall literature to further deepen the results of Gable et al. ( 2004 ) on “good relationship behavior.” Herewith, this present study conducted both correlations and hierarchical analyses. At first, accommodation and capitalization responses were analyzed separately to examine how each response uniquely predicted satisfaction. Subsequently, both accommodation and capitalization were examined simultaneously in the regression model to ascertain which responses are better predictors of satisfaction. Using these methods would allow a better understanding of the unique effects of each accommodation and capitalization response on relationship satisfaction with the complements of culture. It is also the hope of this exploratory study to shed light on how the distinct culture of Malaysian young dating individuals influences their communication behaviors to augment thriving relationships, withal providing an Asian comparative data. Furthermore, most studies have researched on the self-evaluation of an individual to their own communication; though often, one is a very poor judge of one's own communicative behavior (Rusbult et al., 1991 ). Therefore, this present study would investigate how one perceives the accommodation and capitalization responses of their partner and how these perceptions relate to their overall relationship satisfaction.

With the limitations and dearth of literature, the present study aimed to bridge the gaps by exploring the relationship between the two communication processes, (1) accommodation and (2) capitalization, on relationship satisfaction in Malaysian young adults. This study also aimed to examine whether interdependent self-construal moderates and explains the differences in perceived communication behaviors, which in turn effects the level of relationship satisfaction. In broader terms, this research anticipated that active and passive constructive responses would positively predict satisfaction, whereas active and passive destructive responses would negatively predict satisfaction for both accommodation and capitalization processes. With greater depth, the following research questions and hypotheses are postulated:

• Research Question 1
• Hypothesis 1a (H1a) : Perceived active-constructive accommodation responses will positively predict relationship satisfaction.
• Hypothesis 1b (H1b) : Perceived passive-constructive accommodation responses will positively predict relationship satisfaction.
• Hypothesis 1c (H1c) : Perceived active-destructive accommodation responses will negatively predict relationship satisfaction.
• Hypothesis 1d (H1d) : Perceived passive-destructive accommodation responses will negatively predict relationship satisfaction.
• Hypothesis 1e (H1e) : Perceived active-constructive capitalization responses will positively predict relationship satisfaction.
• Hypothesis 1f (H1f) : Perceived passive-constructive capitalization responses will positively predict relationship satisfaction.
• Hypothesis 1g (H1g) : Perceived active-destructive capitalization responses will negatively predict relationship satisfaction.
• Hypothesis 1h (H1h) : Perceived passive-destructive capitalization responses will negatively predict relationship satisfaction.
• Research Question 2
• Hypothesis 2a (H2a) : As an exploratory hypothesis, interdependent self-construal will moderate the relationship between the four perceived accommodation responses and relationship satisfaction.
• Hypothesis 2b (H2b) : As an exploratory hypothesis, interdependent self-construal will moderate the relationship between the four perceived capitalization responses and relationship satisfaction.

Participants

Participants were 139 individuals (46 males, 93 females) recruited on a voluntary basis with online advertisements. A priori power analysis and F-test, linear multiple regression with a fixed model, and R 2 deviation from zero was calculated through the G * Power 3.1 software. The results demonstrated that the sample size was sufficient to detect a significant effect size with 80% power ( f 2 = 0.15, α = 0.05, two-tailed) (Faul et al., 2007 ). Eligibility criteria included the criteria for participants to be Malaysian, above 18 years old, fluent in English and in a romantic relationship for a minimum of 3 months. Initially, there were 179 participants, however, 40 participants were excluded as they did not meet the required criteria for the survey (e.g., minimum 3 months of relationship length) and possibly due to the length of the survey and lack of compensation and token of appreciation. Participants ranged from 18 to 30 years of age ( M = 23.15, SD = 2.42) and age of partners ranged from 18 to 35 years old ( M = 23.93, SD = 3.39). The average romantic relationship length of participants was 2.73 years ( SD = 2.34). Other demographic information of participants is summarized in Table 1 .

Participant demographics ( N = 139).

Subsequent to approval of the study from the Human Research Ethics Committee of the university (MUHREC, Project Number 10606), the study was advertised online through voluntary and snowballing, non-probability sampling methods from December 2017 to January 2018. Numerous organizations and online mediums such as forums, discussion groups, non-governmental organizations, and health and education professionals were approached to advertise the research widely and recruit participants to promote sample diversity. Efforts were also made to foster inclusivity in several manners, for instance, by recruiting participants of different genders, relationship lengths, sexualities, and ethnicities. Additionally, participants were recruited on a voluntary basis instead of providing compensation for taking part in the study to minimize biases.

Participants were given an explanatory statement comprising the aim of the research, confidentiality and the anonymity of information collected. The explanatory statement also stated the rights of participants to withdraw from the study at any time before submitting their responses anonymously. Participants who voluntarily agreed to participate with consent implied, completed the research survey online through the Qualtrics site of the university. The research survey encompassed demographic background, relationship satisfaction, capitalization, accommodation, and self-construal questions. The duration time to complete the survey was ~30 min. Data of each participant was then merged into one data file and analyzed using IBM SPSS Statistics 25.0 software.

Exploratory cross-sectional research was conducted as an observation of variables at a single point of time. There were:

• Active-constructive accommodation
• Passive-constructive accommodation
• Active-destructive accommodation
• Passive-destructive accommodation
• Active-constructive capitalization
• Passive-constructive capitalization
• Active-destructive capitalization
• Passive-destructive capitalization
• Interdependent self-construal
• Relationship satisfaction

Assessment Tools

Relationship satisfaction measure.

The Couples Satisfaction Index (CSI-16) has 16 items and measures the level of relationship satisfaction of an individual (Funk and Rogge, 2007 ). The CSI-16 has a variety of questions, all with a 5-point Likert-type scale (Funk and Rogge, 2007 ). The scores are calculated by tallying up the total points of the items, which can range between 0 and 81 (Funk and Rogge, 2007 ). Scores below 51.5 suggest distress in the relationship (Funk and Rogge, 2007 ). The CSI-16 showed high reliability with a Cronbach's alpha of 0.94 for both genders in European, Asian, and American cultures (Graham et al., 2011 ; Lee, 2013 ). It also showed strong convergent, construct validity, and greater power in recognizing different levels of satisfaction compared to other measures (Funk and Rogge, 2007 ). The Cronbach alpha for the overall scale in this present study was 0.95.

Capitalization Measure

The perceived responses to capitalization attempts (PRCA) scale consists of 12-items measuring the perceptions of the responses of a partner when shared with a positive event (Gable et al., 2004 ). The scale consists of three questions of each response type and are computed by tallying up each subscale, namely, active-constructive (3 items; e.g., “ My partner usually reacts to my good fortune enthusiastically .”), passive-constructive (3 items; e.g., “ My partner tries not to make a big deal out of it, but is happy for me .”), active-destructive (3 items; e.g., “ My partner often finds a problem with it .”), and passive-destructive (3 items; e.g., “ My partner doesn't pay much attention to me .”) responses (Gable et al., 2006 ). Participants rate each item using the line, “When I tell my partner about something good that has happened to me...”, using a 7-point scale from 1 ( not at all true ) to 7 ( very true ). PRCA demonstrated good reliability with men (α = 0.84) and women (α = 0.81) (Gable et al., 2006 ). Reliability analyses for this present study revealed an acceptable coefficient for the items devised to measure active-constructive (α = 0.61), passive-constructive (α = 0.65), active-destructive (α = 0.72), and passive destructive (α = 0.82), respectively.

Accommodation Measure

The accommodation scale is a 16-item measure that evaluates four perceived responses of a partner for each category: active-constructive (e.g., “ When I am rude to my partner, he/she tries to resolve the situation and improve conditions .”), passive-constructive (e.g., “ When I do something thoughtless, my partner patiently waits for things to improve .”), active-destructive (e.g., “ When I say something really mean, my partner threatens to leave me .”), and passive-destructive (e.g., “ When I do something thoughtless, my partner avoids dealing with the situation .”) to an individual's own adverse behavior (Rusbult et al., 1991 ). Items are scored on a 9-point Likert scale from 1 ( never does this ) to 9 ( constantly does this ). Total scores are calculated by totaling the four items of each subscale to gain the totals of each active-constructive, passive-constructive, active-destructive, and passive destructive responses (Gable et al., 2004 ). High reliability was shown with Cronbach's alpha (α = 0.83) (Crowley, 2006 ). Reliability for each item for this present study was also acceptable with active-constructive (α = 0.88), passive-constructive (α = 0.78), active-destructive (α = 0.73) and passive-destructive (α = 0.61), respectively.

Self-Construal Measure

The Singelis Self-Construal Scale (SCS) assesses the interdependent and independent self-construal of an individual (Singelis, 1994 ). The 30-item SCS has 15 interdependent and 15 independent items each. These 30 items are measured on a 7-point Likert scale from 1 ( strongly disagree ) to 7 ( strongly agree ). Responses on each subscale are averaged to obtain interdependent and independent scores separately with greater scores signifying greater self-construal (Hardin et al., 2004 ). A range of 0.60–0.73 Cronbach alpha reliabilities were found in Malaysia (Miramontes, 2011 ). Reliability coefficients in this present study were high for interdependent and independent self-construal with 0.83 and 0.76, respectively.

Data Analysis

All data collected were analyzed descriptively through SPSS. Data cleaning was performed to check for outliers and missing values. Hierarchical multiple regression and moderation were conducted following discussion with statistical consultants knowledgeable about cross-cultural social psychology research. The assumptions for hierarchical multiple regression and moderation were assessed. After preliminary correlations were conducted, hierarchical multiple regressions were run to examine how capitalization and accommodation responses explain the variances in the relationship satisfaction score. Lastly, moderation analyses were run to assess whether interdependent self-construal moderates the relationship between the capitalization and accommodation responses and relationship satisfaction.

Given the theoretical and exploratory nature of this research, formal sensitivity analyses were not conducted as there was limited comparative data and models to compare the results. In preliminary analyses, the researchers have explored the results by entering only significant accommodation and capitalization responses from the correlations to the hierarchical regression and found little change in the R 2 compared to the current findings with all eight responses in the model. These results may be due to the additional responses not indicating a substantial predictive value, in which the rationales have been explained in the discussion section. Additionally, the researchers have inspected the results by changing the order of the input stages for the hierarchical regression, and similar results were demonstrated.

Assumption tests were run prior to inferential analysis. Missing values analysis found missing data and these participants were omitted from further analysis. A 22.3% rate of non-participation was discovered due to participants not meeting the requirements of the research survey. Two univariate outliers were identified for passive-destructive capitalization based on the criteria of z-score ± 3.29 and were winsorized (Field, 2013 ). Normality analysis revealed that multiple variables violated normality; however, based on the central limit theorem, the sample size was deemed adequately large to assume normality (Field, 2013 ). Assumptions of multicollinearity and singularity were assumed to be met, established upon the criteria of Tolerance not lower than 2 and VIF not >10 (Field, 2013 ). Lastly, visual inspections of residual scatter plots showed that data were both linearly distributed and homoscedastic.

Table 2 presents the descriptive statistics of the full sample ( N = 139). Despite targeted efforts to include both genders, it is also important to note that this sample had a higher percentage of female to male participants (66.9–33.1%). Additionally, the cut-off score for relationship satisfaction is 51.5 whereby anything below this score suggests notable relationship dissatisfaction (Funk and Rogge, 2007 ). 73.4% of participants were above this cut-off score signifying that most participants in this sample are in relatively satisfied relationships.

Descriptive statistics of all main variables.

The Relationship Between Perceived Accommodation and Capitalization Responses on Relationship Satisfaction

Bivariate correlations were conducted for the accommodation and capitalization variables with relationship satisfaction, shown in Table 3 . The examination of correlation between perceived accommodative responses and relationship satisfaction showed that there was a positive correlation between Active-constructive accommodation responses and relationship satisfaction ( r = 0.39, p < 0.001). The Passive-constructive accommodation responses had a r = 0.14, p = 0.056. Both Active-destructive ( r = −0.36, p < 0.001) and Passive-destructive ( r = −0.40, p < 0.001) accommodation responses had a negative correlation with relationship satisfaction. Thus, in this preliminary analysis, out of the four accommodation responses, only three responses (active-constructive, active-destructive, and passive-destructive) appeared to have a significant association with satisfaction.

Correlations for accommodation and capitalization responses with relationship satisfaction.

Correlations for perceived capitalization responses and relationship satisfaction revealed that only two responses, Active-constructive and Passive-destructive capitalization responses indicated a significant link to satisfaction. Active-constructive responses ( r = 0.44, p < 0.001) and Passive-constructive responses ( r = 0.02, p = 0.429) had a positive correlation with relationship satisfaction. Both passive-destructive responses ( r = −0.39, p < 0.001) and active-destructive responses ( r = −0.13, p = 0.060) had an inverse association with relationship satisfaction. Moreover, correlations between accommodation and capitalization were assessed and revealed the strength of association ranging from 0.01 to 0.52.

Addressing research question and hypotheses 1, hierarchical multiple regression analyses were performed to further investigate the directionality of the eight accommodation and capitalization communicative responses and determine which of those communication variables uniquely contributed to the prediction of relationship satisfaction. At first, accommodation and capitalization responses were analyzed separately to examine how each response uniquely predicted satisfaction. Subsequently, both accommodation and capitalization were examined simultaneously in the regression model to ascertain which responses were better predictors of satisfaction. In order to accurately examine their unique influence of relationship satisfaction, demographic variables of age, gender, and relationship length which may have effects on relationship satisfaction were controlled by entering them first in stage one of all the hierarchical multiple regression analyses. Gender was held constant because the ratio of female to male participants was larger.

The first hierarchical regression executed was on the four accommodation responses as predictors and relationship satisfaction as the outcome variable (see Table 4 ). As aforementioned, in stage 1, gender, age, and relationship length were entered and did not contribute significantly to relationship satisfaction, F (3,127) = 1.67, p = 0.176, only accounting for a difference of 0–3.8% in the variability of relationship satisfaction. Next, Active-constructive accommodation, Passive-constructive accommodation, Active-destructive accommodation, and Passive-destructive accommodation were entered in stage 2, which suggested an increase in predictive capacity of relationship satisfaction by 26.3%, F (4,123) = 7.56, p < 0.001. A large effect size, Cohen's f 2 = 0.38 was demonstrated between the set of predictors in stage 1 and stage 2 (Cohen, 1988 ). Among the four accommodation responses, only two responses, Active-constructive and Passive-destructive accommodation, emerged as unique predictors of satisfaction, with Active-constructive accommodation [β = 0.34, 95% CI (0.19, 0.87), p < 0.05] recording a stronger relationship with satisfaction compared to Passive-destructive accommodation [β = −0.24, 95% CI (−0.87, −0.09), p < 0.05]. In contrast, Passive-constructive accommodation [β = −0.05, 95% CI (−0.42, 0.25), p = 0.617] and Active-destructive accommodation [β = −0.15, 95% CI (−0.65, 0.07), p = 0.118] revealed to have less predictive value toward relationship satisfaction.

Accommodation responses as predictors of relationship satisfaction.

The second hierarchical regression model explored the unique association of the four capitalization responses on relationship satisfaction (see Table 5 ). Similarly, age, gender, and relationship satisfaction were entered in stage 1 [ R 2 = 0.03, F (3,135) = 1.44, p = 0.234]. Introducing the Active-constructive capitalization, Passive-constructive capitalization, Active-destructive capitalization, and Passive-destructive capitalization responses to stage 2 explained an additional 24.3% of variability of relationship satisfaction, significantly increasing the predictive capacity of relationship satisfaction, F (4, 131) = 7.05, p < 0.001. A Cohen f 2 = 0.33 value was found, signifying a moderate effect size between the set of predictors in stage 1 and stage 2 (Cohen, 1988 ). Both constructive responses showed contributing value in predicting relationship satisfaction, with Active-constructive capitalization [β = 0.33, 95% CI (0.52, 1.65), p < 0.001] demonstrating a stronger relationship than Passive-constructive capitalization [β = 0.17, 95% CI (0.00, 0.92), p < 0.05]. For the two destructive responses, Active-destructive capitalization [β = −0.04, 95% CI (−0.66, 0.41), p = 0.648] displayed low predictive capacity for satisfaction, while Passive-destructive capitalization [β = −0.25, 95% CI (−1.42, −0.16), p < 0.05] indicated strong predictive value toward relationship satisfaction.

Capitalization responses as predictors of relationship satisfaction.

Independently, accommodation and capitalization demonstrated to contribute to relationship satisfaction. However, the next part of the analysis was to explore all eight accommodation and capitalization responses simultaneously. Analogous to the two previous regression models, gender, age, and relationship length were entered in stage 1 and appeared non-significant with R 2 = 0.3, F (3,127) = 1.67, p = 0.176. Introducing the four accommodation responses to stage 2 explained an additional 26.3% of variation in satisfaction, F (4,123) = 7.55, p < 0.001, and a large effect size of Cohen f 2 = 0.38 was found between stage 1 and stage 2 (Cohen, 1988 ). Finally, adding the four capitalization responses to the regression model explained an additional 5.6% of variation in satisfaction and this change in R 2 was also significant with F (4,119) = 6.01, p < 0.001. The effect size between the set of predictors of stage 2 and stage 3 was small, Cohen f 2 = 0.09 (Cohen, 1988 ). It can be seen in Table 6 that when all eight accommodation and capitalization responses were measured simultaneously as predictors of relationship satisfaction in stage 3, merely an active-constructive capitalization response was found as a strong incremental predictor to relationship satisfaction with β = 0.25, 95% CI (0.18, 1.4), p < 0.05. A marginal positive predictive value was found for the active-constructive accommodation β = 0.22, 95% CI (−0.00, 0.71), p = 0.054. The rest of the accommodation and capitalization responses were found to provide minimal contribution, suggesting less predictive value for satisfaction.

Accommodation and capitalization responses as predictors of relationship satisfaction.

The communication responses were entered in this order given that accommodation is a more well-known process as a contributor to relationship satisfaction than capitalization, which is a rather new concept in research. However, the researchers did extra analyses to confirm the results with changing the order of the stages and entering the capitalization responses in stage 2 and accommodation responses in stage 3 and found the same results where Active-constructive capitalization was revealed as the strongest predictor of relationship satisfaction, indicating that this response is the most important predictor of satisfaction.

The Moderating Effects of Self-Construal on the Relationship Between Perceived Accommodation and Capitalization Responses and Relationship Satisfaction

To test research questions and hypotheses 2, moderation analyses were performed. Firstly, moderation analyses of interdependent self-construal as a moderator for both accommodation and capitalization communicative responses on relationship satisfaction were conducted. As shown in Table 7 , the interaction effects between each of the accommodation responses and interdependent self-construal were Active-constructive accommodation [β = −0.06, 95% CI (−0.39, 0.27), t = −0.38, p = 0.704], Passive-constructive accommodation [β = 0.01, 95% CI (−0.33, 0.36), t = 0.08, p = 0.938], Active-destructive accommodation [β = 0.21, 95% CI (−0.21, 0.63), t = 1.00, p = 0.319], and Passive-destructive accommodation [β = 0.05, 95% CI (−0.39, 0.49), t = 0.24, p = 0.812]. These findings suggested that the relationships between accommodation and relationship satisfaction were not moderated by interdependent self-construal.

Moderation of interdependent self-construal for accommodation and capitalization reponses and relationship satisfaction.

Similar results were revealed for the capitalization responses. Active-constructive capitalization [β = 0.26, 95% CI (−0.41, 0.94), t = 0.77, p = 0.444], Passive-constructive capitalization [β = −0.04, 95% CI (−0.68, 0.61), t = −0.11, p = 0.912], Active-destructive capitalization [β = 0.49, 95% CI (−0.13, 1.11), t = 1.57, p = 0.119], and Passive-destructive capitalization [β = 0.49, 95% CI (−0.03, 1.10), t = 0.1.89, p = 0.62] responses showed that interdependent self-construal did not moderate and explain the relationship between these communication responses and relationship satisfaction.

Although not initially planned in the hypotheses, further exploratory moderation analyses were conducted to broaden the understanding of this current sample and results. Intriguingly, in contrast, independent self-construal appeared to moderate the relationship between active-destructive capitalization [β = 0.64, 95% CI (−0.04, 1.24), t = 2.12, p < 0.05] and passive-destructive capitalization [β = 0.71, 95% CI (−0.19, 1.29), t = 2.68, p < 0.05] responses with relationship satisfaction. The rest of the accommodation and capitalization responses on relationship satisfaction indicated no moderating effects by independent self-construal (see Table 8 ).

Moderation of independent self-construal for accommodation and capitalization reponses and relationship satisfaction.

Hence, the interaction effect of both perceived accommodation and capitalization responses with interdependent self-construal did not moderate and predict relationship satisfaction. The only interacting moderation effects found were between independent self-construal and Active-destructive capitalization and Passive-destructive capitalization responses, which were beyond the scope of this study. Nevertheless, the possibilities of these results will be considered in the discussion section.

Negative communicative behaviors in romantic relationships, such as accommodation in conflicts, have received ample attention in past studies. On the flip side, positive communicative behaviors such as capitalization exchanges toward positive events have been largely overlooked and have not received as much vigor as negative interactional research (Gable et al., 2004 , 2012 ; Smith and Reis, 2012 ). This current study proposed that it is essential to understand the contemporaneous associations of both negative (accommodation) and positive (capitalization) communicative behaviors to unearth the riddle in predicting positive relationship satisfaction. Prior work has highlighted that couple communication takes diverse forms germane to the cultural context whereupon it occurs and have argued that Western and Asian cultures differ in how they express and perceive beneficial communication behaviors (e.g., Wang et al., 2010 ; Williamson et al., 2012 ; Yum et al., 2015 ; Wang and Lau, 2018 ). However, positive psychology research studies around the world have been largely based on Caucasian samples and greater diversity is needed in the science of positive psychology (Rao and Donaldson, 2015 ). Since previous studies were dominated by a Western perspective, exploring both capitalization and accommodation processes may give us a better holistic insight into which communication behaviors are perceived as responsive and fruitful in promoting relationship satisfaction from an Asian viewpoint. In fact, no identified research examining accommodation and capitalization processes has been done in tandem within an Asian context, especially in Malaysia. Therefore, this present study examined the relationship between the two communication processes, (1) accommodation and (2) capitalization, on romantic relationship satisfaction in Malaysian young adults. This study also explored whether interdependent self-construal moderates and explains the differences in communication behaviors, which in turn affects the level of relationship satisfaction.

Do the Eight Types of Perceived Communication Behaviors in Terms of Accommodation (4 Types) and Capitalization (4 Types) Responses Predict Relationship Satisfaction?

The more well-known piece that literature has appraised in solving the conundrum of relationship satisfaction is accommodation in conflicts. This present study hypothesized that Active-constructive (H1a) and Passive-constructive (H1b) accommodation responses toward the transgressions of a partner in conflicts would positively predict relationship satisfaction, whilst Active-destructive (H1c) and Passive-destructive (H1d) responses would negatively predict relationship satisfaction. Findings revealed that responding in an Active-constructive manner such as discussing problems and altering problematic behavior during conflicts positively predicted relationship satisfaction, supporting H1a. These results align with research done by Rusbult et al. ( 1991 ) and Crowley ( 2006 ) who established that the willingness to accommodate to the misbehavior of a partner with Active-constructive responses boosts relationship functioning and satisfaction. This indicates that Active-constructive reciprocity will foster satisfaction as it directly engages one partner to be more aware of the maintenance efforts of the other partner in the relationship, which in turn rejuvenates closeness and perceived regard (Overall et al., 2010 ).

Regarding H1b, it was hypothesized that Passive-constructive accommodation responses during conflicts would positively predict relationship satisfaction; however, the findings did not support H1b. Rather than a significant positive prediction of relationship satisfaction, a slightly negative non-significant result emerged. It was forecasted in this current study that Asians would find forgiving and forgetting the bad behavior of a partner and hoping for things to improve (Passive-constructive) through conflictual circumstances just as beneficial as talking through issues (Active-constructive). This expectation was due to prior work establishing Malaysians and collectivist societies tend to use more indirect and less expressive communication to maintain harmony with others (e.g., Ting-Toomey, 1999 ; Kennedy, 2002 ; Oetzel and Ting-Toomey, 2003 ; Yum, 2004 ; Bakar et al., 2007 , 2014 ; Wang et al., 2010 ; Ma-Kellams and Blascovich, 2012 ). Previous research in Western societies has found unclear and inconsistent results regarding the Passive-constructive accommodation response, making it hard to decipher whether this response is threatening or securing relationship functioning. In their seminal work, Rusbult et al. ( 1991 ) and Gable et al. ( 2004 ) found the Passive-constructive accommodation response desirable, but later studies by Overall et al. ( 2010 ) found the opposite effect. Although not significant, the findings of this current study seem to be more toward the discovery of Overall et al. ( 2010 ) because a Passive-constructive accommodation response may be less salient than an Active-constructive response and lead an individual to feel ignored and unappreciated, which could diminish relationship satisfaction. However, further research should continue to investigate the differences of past work as the results in this current study leaned toward a possible negative direction but were indicative of non-significance.

Furthermore, this study found both active and passive destructive accommodation responses detrimental to the relationship satisfaction of an individual. A Passive-destructive response was unmasked as the stronger negative response in predicting satisfaction within this sample in line with H1d. On the contrary, an Active-destructive response appeared to show lower predictive capacity in reducing relationship satisfaction. The rationales of the strength of Passive-destructive accommodation responses are deferred toward the end of the discussion after the capitalization processes are considered as similar results were replicated for capitalization. Despite this, findings still leaned toward the expected direction of both H1c and H1d, exhibiting near to typical findings of the two destructive responses. These results are congruent with past studies that found active and passive destructive reciprocity to the bad behavior of a partner are unaccommodating and lead to dissatisfaction (Rusbult et al., 1991 ; Crowley, 2006 ). These findings also denote that not inhibiting destructive impulses would further exacerbate issues, hinder movement toward resolving issues, and lead to distressing relationships (Rusbult et al., 1991 ; Overall et al., 2010 ). In short, Active-constructive accommodation responses during conflicts seem to be the most favorable response and allowed dating partners to feel understood, cared for, and validated, which enriched relationship satisfaction. Conversely, Active-destructive, and Passive-destructive accommodation responses seemed unrewarding for dating relationships of Malaysian young adults. The Passive-constructive accommodation responses were the only accommodation results that were not supportive of the hypothesis of this research.

Another complementary yet an understudied communication process in deciphering the relationship satisfaction riddle is capitalization on positive events. Mirroring the hypotheses for accommodation, this study expected that Active-constructive (H1e) and Passive-constructive (H1f) responses to capitalization attempts would positively predict relationship satisfaction whereas Active-destructive (H1g) and Passive-destructive (H1h) responses would negatively predict relationship satisfaction. Consistent with H1e and H1f, results uncovered that providing both enthusiastic support (Active-constructive) and acknowledgment, but an understated support (Passive-constructive) toward the positive events of the partner predicted relationship satisfaction. However, Active-constructiveness had a rather more robust response for satisfying relationships. The findings suggested that the Passive-constructive response stood in contrast to previous research in Western societies as only an Active-constructive response conveyed responsiveness and was associated with higher personal and relationship well-being from the Western lens (Gable et al., 2004 , 2006 ; Pagani et al., 2020 ). Gable et al. ( 2006 ) noted that an Active-constructive response solely highlights the triumphs of the partner and communicates personal significance of the positive event to the discloser. On the other hand, a Passive-constructive response does not convey the same message, which reduces relationship well-being (Gable et al., 2006 ). Albeit the passive-constructive capitalization responses in this current Malaysian study yielded borderline significance in positively predicting satisfaction, the preliminary correlation demonstrated that this capitalization response had a weak but non-significant relationship to satisfaction. Hence, the results of the passive-constructive capitalization responses should be approached with caution.

Having said that, the results in this current study still appeared to encapsulate the aspect that a Passive-constructive capitalization response such as providing a warm smile and just expressing “ That's nice dear ” toward good news of a partner also tends to be supportive and positive from an Asian perspective. Thus, this finding appears to dovetail nicely with the results of Guo et al. ( 2018 ), the only research found in Asia using the perceived capitalization attempts scale of Gable et al. ( 2004 ) thus far. They studied familial relationships and demonstrated that both constructive responses of fathers were advantageous for the intrapersonal health and well-being of their children. Therefore, this present research seemed to capture some differences between preferable responses toward personal triumphs of dating couples in Western and Asian countries, echoing the notion that a less overzealous response could still be appropriate and desirable in collectivist cultures (Taylor et al., 2007 ). According to Choi et al. ( 2019 ), Asians also have greater worries about possible repercussions of disclosing personal positive events as it has higher stakes in threatening relational harmony and negative reputations because sharing good news can seem boastful. However, as aforementioned, the findings for the passive-constructive response in this current study narrowly achieved significance. Thus, future research should broaden the sample size and examine other cultural aspects (i.e., harmony values) to better capture the cultural differences for the capitalization process.

Regarding the destructive capitalization reactions, a Passive-destructive response, which is showing disinterest and changing the topic of discussion indicated the strongest predictive value in lowering relationship satisfaction, in tandem with H1h. The same, albeit non-significant trend, was displayed for the active-destructive response (i.e., criticizing and invalidating the partner's good news) leaning toward the anticipated direction of H1g. It can thus be suggested that both destructive responses undermine relationship health as they reject the attempt to develop self-confidence, bids for connection, and engagement of the discloser, which leads to dampening of positive feelings about the event and the relationship (Gable et al., 2004 ). Repeated destructive responses could also deter the discloser from making capitalization attempts in the future, which may impact the relationship well-being drastically in the long run (Peters et al., 2018 ).

Furthermore, examining both accommodation and capitalization processes simultaneously provided striking but not surprising results as the most impactful positive response to satisfaction was the Active-constructive capitalization response. This indicates that perceiving that a partner validates the strengths and accomplishments of the discloser in an enthusiastic and encouraging fashion has benefits above and beyond other responses and the accommodation process. These results conform with prior findings that documented support toward positive events was a better predictor of relationship quality than discussions about other circumstances such as adverse events (i.e., Gable et al., 2006 , 2012 ). Thus, as Gable et al. ( 2006 ) asserted, “ To put it colloquially, they seem to offer a lot more bang for the buck ” (p. 914). Gable et al. ( 2006 ) also found some preliminary evidence that positive event discussions had a greater predictive capacity of couples breaking up at a later point in time. Pertaining to the accommodation process, it can be fairly said that the Active-constructive reaction was also the best response for enriching relationship satisfaction but not as strong as the Active-constructive capitalization response, which seems to be the most salubrious response for dating relationships in Malaysia.

Summary and Rationale of Results

Considering the results as a whole, the notion that Asians perceive Active-constructive responses as unbeneficial, uncomfortable, and distressing (Taylor et al., 2007 ; Wang et al., 2010 ) is not vouched by this study as this response was found as the most ameliorative reaction for flourishing dating relationships in Malaysia. Therefore, this result supports the universal advantage of Active-constructive responses in both, accommodation, and capitalization processes for relationship maintenance and enhancement.

However, when comparing the two communication processes, there were varying outcomes for the passive-constructive response. This type of communicative behavior seems to have contradicting findings across the literature, and its impact is still not completely clear. While responding in a passive-constructive fashion during capitalization processes was suggestive of beneficial relationship outcomes, accommodating in this manner during conflicts seemed to trend toward being unfruitful for relationship satisfaction in this present research. Even so, due care should be exercised with interpreting these findings. Although the results leaned toward these directions, some results did not appear significant. Be that as it may, it could be argued that the capitalization and accommodation processes are not mutually exclusive, and an effective response depends on the situational context, especially when it comes to Passive-constructive responses. Analogously, a passive-constructive capitalization response to good news of a partner emerged to predict satisfaction positively in this Malaysian sample. In contrast, prior researchers have found that Westerners do not benefit from this type of communication behavior (Gable et al., 2004 , 2006 ; Lambert et al., 2012 ; Pagani et al., 2020 ). In light of this, to some extent, this present research unmasked a potential difference in the consequences of the perceived passive-constructive response between Asian and Western countries. On a similar note, scholars have also suggested that perceived responses usually involve a “reality component” (Reis et al., 2004 ), where researchers should also consider other relationship “realities” such as the expectations of the partner, need for approval, and reasons for disengagement toward the discloser (Gable et al., 2004 ). Thus, future research should closely inspect these individual differences and motivation to provide a constructive response to understand the complexity of effective communicative behaviors further.

Moreover, concurring with prior research, destructive responses in accommodation and capitalization communication processes were found harmful, regardless of culture. However, one noticeable difference is that the Passive-destructive response in both accommodation and capitalization processes had a greater predictive magnitude in the deterioration of relationship satisfaction when the two processes were examined independently. Active-destructive responses were in the anticipated negative direction but were revealed to be non-significant in predicting relationship satisfaction. On the one hand, it could be that partners of the participants in this study interact in a more vague and evasive destructive way, laying more truth to Asians communicating passively (Guo et al., 2018 ). On the other hand, the results may indicate that Passive-destructive responses are more detrimental to the receiver than Active-destructive responses (Gottman and Krokoff, 1989 ). These findings may be because Passive-destructive responses inhibit the ability of a couple to resolve conflicts by “bottling up” emotions, prolonging problems, and causing petty disagreements to escalate out of control, which may cause more long-term problems (Gottman and Krokoff, 1989 ; Gottman and Levenson, 1992 ).

Another possible explanation for these results is the stage and status of the relationship of participants in this current study. 73.4% of the sample were in relatively satisfied and happy relationships. Hence, it could be assumed that partners are not reacting in an Active-destructive way, such as showing anger and hostility in conflicts or demeaning and criticizing good news frequently for them to be unsatisfied in their relationships. Besides that, the unintended self-selected bias cannot be ruled out and should be taken into consideration in future research. The results may differ if there was a proportionated balance of participants in the sample who were in satisfying and dissatisfying relationships, which upcoming research needs to obtain and explore.

This research also consists of only dating individuals with an average of 2 years of relationship length. These participants may still be in the “honeymoon” stage of their relationship where trust and intimacy may still be developing, during which they utilize distinctive nature of behaviors such as being more Passive-destructive and more forgiving than couples who have been married for a longer period (Williams, 2012 ). Passive-destructive responses are possibly more apparent, unnerving, and threatening to premarital or dating couples because partners showing disregard and disinterest may make them feel that their partners are not committed. This relates to a relatively frequent phenomenon in modern dating and a new term called “ghosting,” which shares an overlap with the Passive-destructive response as if an individual “ghosts” another person, they withdraw and avoid the partner entirely (LeFebvre et al., 2019 ). In other words, when one partner ghosts the other, the immediate consequence is simply an indirect and ambiguous lack of communication (LeFebvre, 2017 ). As this seems to be a common phenomenon in the current dating atmosphere, it might be another reason why this way of communication had a greater prevalence and strength in declining satisfaction of romantic relationships for this sample. Future research could compare the different phases of relationships and communication behaviors between dating and married couples to understand these results more comprehensively. Despite these rationales, this study suggests a recognition that passive-destructiveness is an unfavorable act to Malaysian dating relationships, maybe more so than active-destructiveness. Further illustrations of the cultural facets, in terms of self-construal and communication are discussed in the subsequent section.

To What Extend Does Interdependent Self-Construal Moderate the Relationship Between Perceived Capitalization and Accommodation Communication Behaviors on Relationship Satisfaction?

As noted earlier, the present study anticipated Malaysia to be a collectivist country with individuals generally having a dominant interdependent self-construal based on prior studies and was treated as such in hypotheses 2 (Hardin et al., 2004 ; Amir, 2009 ; Ting and Ying, 2013 ). Nevertheless, these current findings did not bear the resemblance of previous discoveries as the interdependence self-construal seemingly did not moderate and explain the differences in both accommodation and capitalization communication behaviors with relationship satisfaction. Thus, these results did not endorse H2a and H2b, suggesting other important factors are at play.

Consequently, given the equivocal findings, further exploratory analyses were conducted though not tested in the hypotheses of this study. It was discovered that independent self-construal instead seemed to moderate the relationships between both perceived active and passive destructive capitalization responses and relationship satisfaction. However, no other significant results were found for accommodation responses. Hence, self-construal appeared to affect the expectations and preferences of perceived responsiveness of sharing good news, just not in the expected direction for Malaysians in this study. The sample in this study also obtained relatively higher mean scores for interdependent and independent self-construal compared to Asian samples in America. These results concur with the findings of Yum ( 2004 ) that other self-construal types exist and may explain behavioral variations with greater consistency than the bipolar interdependent-independent self-construal model. One of which is the bicultural self-construal, that is individuals who are high in both interdependent and independent self-construal and are products of modernization and multicultural societies (Kim et al., 1996 ; Yum, 2004 ). Given that Malaysia is a melting pot of races, ethnicities, and cultures with unique historical influences (Nagaraj et al., 2015 ; Park, 2015 ; The Malaysian Administrative Modernisation Management Planning Unit, 2016 ), one could speculate that some of the participants in this study could be bicultural. Prior work has asserted that bicultural individuals have rather complex and adaptable identities and are less culturally typical than other self-construal types (Kim et al., 1996 ; Yum, 2004 ). They are more flexible and capable of adapting to interactional demands by responding effectively not only to protect their own needs but also the needs of their partner better than other self-construal types. However, this is beyond the scope of this research; thus, future studies could investigate other types of self-construal and whether they moderate the relationship between accommodation and capitalization processes and satisfaction.

Another plausible explanation would be the “modernization hypothesis,” which infers that the behavior of an individual in personal relationships is influenced by the degree of industrialization, westernization, and democratization of the country (Goodwin, 1999 ). It is also imperative to emphasize that Malaysia was formerly colonized by Western powers such as Britain and, inherently, the Malaysian regime adopted some of the British laws and educational practices which would influence Malaysia's culture (Aziz, 2009 ; Lee and Low, 2014 ). Therefore, Malaysians may be affected by social change, modern capitalism and globalization and hold values that are assumed with moving toward individualism, which could explain why the moderating effects of independent self-construal instead of interdependent self-construal were shown in this current study (Goodwin, 1999 ; Park, 2015 ). Further, the behavior of an individual could also be influenced by regional subcultures. This current study presumed the national culture of Malaysians to be collectivistic and are governed by interdependent self-construal. However, according to Schmitz ( 2012 ), regional sublevels within a country influences the difference in cultural characteristics of various states. This may explain the inconsistency in results of the interdependent and independent self-construals affecting the communication behaviors as participants originated from different states in Malaysia.

Moreover, other scholars have argued that individualist-collectivist stereotypes are becoming meaningless due to other confounding variables such as degree of industrialization, education, and occupation, especially for the younger generations (Kagitçibaşi, 1996 ; Goodwin, 1999 ; Matsumoto, 2002 ; Park, 2015 ). The sample in this present study represents people of the younger generation who live in urban areas and have relatively high education and economic status. According to Fung ( 2013 ), older individuals have a higher tendency to internalize their cultural values compared to younger individuals. Thus, since the participants in this study are of relatively younger ages, there may be a possibility that they have yet to internalize their cultural values (Ho, 2021 ), explaining the disparities of the interdependent-independent self-construal types. Additionally, Yum et al. ( 2015 ) have discovered that although countries are geographically close and in Asia, it does not necessarily mean they have similar values. For instance, Singaporeans were found to adopt traditional and preindustrial beliefs. Conversely, Malaysians reported to hold greater self-expressive and liberal post-industrial beliefs similar to people living in the United States (Yum et al., 2015 ). Hence, further studies would need to scrutinize the impact of other cultural aspects (e.g., harmony values, and self-expressive values) and widen the range of ages, education, and economic status of participants to truly capture the cultural evolution and communication processes in this modern era.

Research Implications

Taken together, this current research has highlighted some important implications of romantic relationship communication behaviors, particularly in the realm of dating relationships. This work is the first step toward enhancing our understanding of the accommodation and capitalization processes by looking through an Asian cultural lens. In the overall literature and Malaysian context, there are no identified peer-reviewed studies found investigating the accommodation and capitalization processes and relationship satisfaction simultaneously. Integrating the 2 everyday life communication processes into research provides a better holistic view of how romantic relationships unfold. An active and constructive response was captured as the most salubrious response through capitalization and accommodation processes from a Malaysian standpoint. Prominently, an Active-constructive capitalization response bore the strongest influence on relationship satisfaction above and beyond other responses. A passive and constructive response was suggestive of a positive direction for disclosures of good news but not during conflicts. In contrast, destructive responses in both instances displayed a negative pattern which could steer couples in a downward spiral, irrespective of culture.

The findings of this pioneering study would be a noteworthy addition to literature while contributing to positive psychology theory. This research investigated not only which communication behaviors were beneficial but for whom they are effective for. This study would provide a good comparative data of an Asian country since most studies are conducted and dominated by Western cultures and were subdue to low population and ecological validity as well as pitfalls of research methods. Furthermore, the results could also be a guideline in counseling practices to enhance the “good relationship behavior” and relationship satisfaction of couples by training and cultivating better communication behaviors (Gable et al., 2004 ), tailored to the preferences and culture of an individual. This knowledge and understanding of human interactional behaviors could be beneficial in designing pre-marital and marriage interventions in Malaysia and other Asian countries. Possible target therapeutic interventions and positive education are fostering constructive communication behaviors, not only to protect relationships with better conflict management but to also enrich romantic relationships by capitalizing on the positive aspects of their lives. Additionally, the findings could serve as a means to educate and create awareness among the general population about good communication practices of which would hope to reduce divorce rates, strengthen relationships and families, and improve the well-being of the society at large, ultimately building flourishing lives.

Caveats and Future Directions

While this study has made novel contributions to the romantic relationship science literature and goes beyond previous researchers in important ways, future studies should interpret the findings with caution as there were limitations notwithstanding. Firstly, although most of the results were in the expected directions, some of the results appeared non-significant, possibly due to various factors beyond the scope of this research. This study also used self-report data which may induce social-desirability bias; for instance, over-reporting good behavior and higher relationship satisfaction and underreporting undesirable behaviors to be viewed favorably. Moreover, this study focused on the perception of an individual to the response of the partner without directly observing the interaction or investigating how both the discloser and responder feel about the same reactions. Future studies should compare perspectives of both partners and use triangulating methods such as observation in natural settings, in-depth field studies, open-ended surveys, and interviews. Granting all this, it should be noted that responsiveness not only mirrors actual behavior but also the eye of the beholder; therefore, it should be approached with prudence (Reis et al., 2004 ).

Additionally, women are more attuned to behaviors of partners in daily interactions (Overall et al., 2010 ). The sample was predominantly female, with 66.9% of females and 33.1% males, making it difficult to accurately compare gender differences. Therefore, future research should assess the complexities of accommodation and capitalization processes in more depth, while examining gender differences. Furthermore, the sample consisted of participants who were relatively young and in dating relationships, of which 73.4% were in satisfying relationships. These participants may also still be in the “honeymoon” relationship phase, during which they utilize and intently focus on different nature of behaviors (Williams, 2012 ). Responses and perceptions in accommodation and capitalization processes may reveal different patterns in an alternative milieu of long-term, long-distance, distressed, marital, and clinical populations. Future research is recommended to obtain a larger sample size, especially accounting for non-completion of online surveys, to gain a better understanding and generalizability of results.

Lastly, this research was susceptible to ecological fallacy because it assumed that all individuals from a specific culture behave similarly (Freedman, 1999 ). Thus, some Malaysians may hold bicultural self-construal or more independent than interdependent self-construal. These findings suggest opportunities for future research to investigate other types of self-construal as well as various values that may impact communicative behaviors, namely self-expressive and harmony values. Observing other aspects could valuably aid in capturing the cultural evolution and communication processes in this modern age.

Conclusively, our need to connect romantically can be ever so fulfilling and enrich our life experiences but can also be arduous and complicated. The contemporaneous associations of both accommodation and capitalization communication processes aids in understanding the complexities of romantic flourishing relationships. This current research has unearthed that attaining relationship satisfaction lies at the heart of responding constructively in romantic relationships as it shows the partner cares and appreciates us. The advantages of active-constructive responses in both relationship processes were more salient and consistent compared to passive-constructive responses. Conversely, in the destructive paradigm, passive-destructive responses emerged as the most unfavorable act in dating relationships in comparison with other destructive responses. This current research has also found that interdependent self-construal did not moderate the communication behaviors. However, captivatingly, unexpected individual and cultural variations were discovered. In the light of these findings, this area of research is essential and further work is necessary to identify additional mediators and effects of these constructs. Regardless, this present research has endowed society one step closer to solving the riddle of achieving relationship satisfaction, and ultimately flourishing romantic relationships. Herein, this study can also serve as a backbone to the knowledge of accommodation and capitalization processes of psychologists and society in Asia and positive psychology literature. Thus, truly strengthening the view of Virginia Satir that “ Communication is to relationships what breath is to life ” (Loeschen, 2017 , p. 89).

Data Availability Statement

Ethics statement.

The studies involving human participants were reviewed and approved by Monash University Human Research Ethics Committee (MUHREC, Project Number 10606). The participants provided their written informed consent to participate in this study.

Author Contributions

All authors contributed to the study and approved it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We would like to express our deep sense of thanks and sincere gratitude to our participants, who were instrumental in the completion of this research. We would also wish to extend our heartfelt appreciation to our family and friends who supported us throughout this research process. This research could not have been completed without all of them.

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The Internet Impact on Interpersonal Communication Research Paper

The progress of the digital era is one of the most discussed topics today, and people are free to introduce their attitudes toward the Internet and online services. On the one hand, the Internet performs a critical function of global connection. Finding the necessary information and sharing data does not take much time. On the other hand, it is wrong to neglect that the Internet has changed the quality of interpersonal communication and decreased the number of real-life meetings. This paper aims to answer the question, “How does the Internet affect human relationships and communication processes?” Despite the evident benefits of the Internet in human life, like time-saving and the content of exchanged information, the challenges of interpersonal communication continue to decrease the worth of nonverbal components and privacy issues.

It is hard to imagine this life without the Internet, and the possibility of saving time remains an important benefit in the context of interpersonal communication. In their intention to improve relationships, people try to use a single chance to share data in a timely manner. Sam defines the Internet as a “global village, transcending the boundaries of time and space” (473). Several years ago, society was concerned about the inability to find enough time and space to find the material, report on the event, or demonstrate personal opinions. Today, it is easy to create a post, record a video, or leave a comment from any part of the world. The Internet has facilitated interpersonal communication by significantly reducing time frames.

Another consequence of using the Internet for interpersonal communication is improved content expansion. Most individuals first grab their phones or other digital devices that connect them with the entire world when they wake up. According to Ruben et al., it does not matter if a person turns on the phone to scroll through Facebook or add another picture of their Outfit of the Day; the idea remains the same – the Internet is inevitable. Sometimes, people need more details about the situation or clear evidence not to be alone in this world (Sam 474). The Internet is a connection that is not determined by the weight or physical size of the message. Users can print words, send audio files, share video material, and exchange pictures. Thus, the Internet positively affects interpersonal communication due to a great opportunity of exchanging different types of personal and public information.

At the same time, any impact can be interpreted in different ways, and, together with evident advantages, the Internet may challenge interpersonal communication because of poorly interpreted nonverbal language. Technology-mediated communication is developed in various ways, but nonverbal behavior cues are frequently absent (Ruben et al.). Human gestures, voice tones, physical appearances, touches, and gazes are necessary to express relative status and define relationship roles in everyday life and business (Goman). The Internet transfers visual information but does not contribute to the appropriate interpretation of the material. Still, it is human nature to pay attention to nonverbal responses and “all of the emotional nuance behind the words,” either consciously or unconsciously (Goman). Digital communication is not as powerful and all-encompassing as face-to-face interaction. Many critical elements are neglected, which deprives people of observing many things and details. The Internet damages the quality of interpersonal communication due to the absence of body language and physical cues.

Finally, when people initiate communication processes, they expect their information to be private and personal, which is not always possible on the Internet. Digitalization and globalization are usually associated with vast opportunities and unlimited knowledge. Despite multiple attempts to strengthen the global politics of cyber systems, privacy complications continue emerging, and personal data protection is dramatically challenged (DeNardis 60). Many invisible threats exist even if people think they are alone in the room. For example, camera surveillance and video recording may be stored with the help of cloud services without even notifying users (DeNardis 60). There are many ways to circumvent privacy agreements, and interpersonal communication can never be the same as the one when two people talk to each other face to face. The Internet did not pursue such purposes when it was introduced for public usage, but hackers and technical experts developed their skills to penetrate private human lives in the most meticulous ways.

In conclusion, the impact of the Internet on interpersonal communication is associated with different benefits and shortages. People are easily fascinated with the number of digitalized opportunities they get when they choose the Internet for communication. They enjoy the absence of geographical boundaries, distance, and time limitations and exchange pictures and voices in a convenient way. At the same time, the lack of understanding of nonverbal communication and no privacy questions the appropriateness of the Internet for personal communication. Many individuals need to have guarantees and control their words and information distribution. The Internet facilitates many processes as well as creates additional problems that people need to consider if they want to enjoy their interpersonal relationships and communication. It is high time to realize the difference between online and face-to-face communication to prevent damage and gain personal profits.

Works Cited

DeNardis, Laura. The Internet in Everything: Freedom and Security in a World with No Off Switch . Yale University Press, 2020.

Goman, Carol Kinsey. “Has Technology Killed Face-To-Face Communication?” Forbes , Web.

Ruben, Mollie A., et al. “Is Technology Enhancing or Hindering Interpersonal Communication? A Framework and Preliminary Results to Examine the Relationship Between Technology Use and Nonverbal Decoding Skill.” Frontiers , Web.

Sam, Susan. “Impact of Internet on Interpersonal Relationships.” International Journal of Home Science, vol. 5, no. 2, 2019, pp. 473-476.

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IvyPanda. (2023, October 16). The Internet Impact on Interpersonal Communication. https://ivypanda.com/essays/the-internet-impact-on-interpersonal-communication/

"The Internet Impact on Interpersonal Communication." IvyPanda , 16 Oct. 2023, ivypanda.com/essays/the-internet-impact-on-interpersonal-communication/.

IvyPanda . (2023) 'The Internet Impact on Interpersonal Communication'. 16 October.

IvyPanda . 2023. "The Internet Impact on Interpersonal Communication." October 16, 2023. https://ivypanda.com/essays/the-internet-impact-on-interpersonal-communication/.

1. IvyPanda . "The Internet Impact on Interpersonal Communication." October 16, 2023. https://ivypanda.com/essays/the-internet-impact-on-interpersonal-communication/.

Bibliography

IvyPanda . "The Internet Impact on Interpersonal Communication." October 16, 2023. https://ivypanda.com/essays/the-internet-impact-on-interpersonal-communication/.

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