Abstract
This article pulls together diverse published findings on computer-mediated communication (CMC) to test the hypothesis that it reduces psychological engagement and impact compared with face-to-face (FTF) interactions. Although gaps and questions remain, the evidence mostly confirms reduced engagement and impact. Compared with FTF interactions, CMC elicits less positive emotion, with mixed results for negative emotions. Physiological arousal is often lower. Relationships, trust, and group cohesion develop more slowly (although perhaps eventually reaching the same levels). Information processing is reduced. Inhibitions are also reduced, leading to greater willingness to criticize, to bring up alternate perspectives and suggestions, and to neglect to respond. The disinhibition may improve participation by shy persons. Group performance and group decision-making are often impaired, although some studies found no difference. Teaching and learning go less well. Impact and engagement lose more with asynchronous than synchronous CMC. FTF interactions boost well-being compared with not interacting, but CMC is in between. When CMC augments FTF relationships, there may be benefits, but when it replaces them, there are psychological costs. Technology has enabled marvelous advances in long-distance communication, but there is still no fully satisfactory substitute for actually being together in person.
Keywords
Communication is one of the essential human traits. Although many other species communicate to some extent, none has created a full-fledged language, whereas all known human societies have language. Nearly everywhere, humans talk to each other, often while engaged in joint activities. In recent decades, advances in technology have enabled humans to communicate with each other across spatial and temporal distances. The current work sought to understand some possible consequences of a massive societal shift toward nonpresent social interactions, which we call “solitary socializing” or “socializing (while) alone.” That is, people are engaged in social interaction and communicating with others while they are physically alone.
More precisely, we reviewed published research comparing the various types of technology-mediated social interactions (conventionally denoted as computer-mediated communication, or CMC, which includes smartphones and other devices as well as computers) with each other and with face-to-face (FTF) interactions. The hypothesis was that psychological engagement and impact are reduced to varying degrees during CMC compared with FTF interactions. Toward that end, here we summarize findings of differences between FTF interactions and CMC regarding emotion, arousal, group decision-making, interpersonal bonding, trust, and inhibition. We provide a narrative review of these findings along with theoretical discussion. To our knowledge, no such article has yet been published.
The notion of socializing alone is reminiscent of Putnam’s (2000) Bowling Alone. Putnam observed that although there were currently more people bowling than previously, they generally did it alone or with a single companion rather than as part of a bowling league. Putnam’s theme was the broad decline in civic engagement, with bowling as merely one instance of a broad pattern of reduced engagement in organized groups (e.g., religious, political, fraternal, military veteran, altruistic). The current work takes Putnam’s argument a step further. Today, people do not merely bowl while alone. They often do much of their interpersonal socializing while physically alone.
We do not dispute the benefits and advantages of technology for communicating with distal others. Nevertheless, social psychology’s endeavor to understand human interaction might benefit from recognizing that distal interactions differ in meaningful ways from the traditional mode of interacting while physically together. Social psychology’s knowledge about human interaction may need to be updated to acknowledge that many well-documented responses are diminished when people interact via technology.
Background
The idea that technology created opportunities to interact with others at a distance, and that socializing through technology rather than in person could have a negative impact on social bonds, is not new. For instance, almost a century ago sociologists were concerned that the telephone would reduce neighborly in-person visits (Lynd & Lynd, 1929). However, the sheer number of options for socializing alone has exploded in recent decades, resulting in increased concerns about the phenomenon.
Some authors have proposed that the escalating mental-health problems among young people (especially anxiety, depression, and loneliness) are partly due to the increased use of smartphones for social interaction (see Haidt, 2024). It would be ironic if the rise of technology designed to facilitate communication ends up making people lonelier. If smartphone use is indeed damaging, there are several possible ways that could happen, but one plausible candidate would be a muting of psychological processes and responses.
Laughter offers an example. Laughing aloud has been shown to have multiple beneficial effects, including reduced sensitivity to pain (Dunbar et al., 2012), reduced psychological distress (Szabo, 2003), and reduced stress hormones (Berk et al., 1989). Shifting to a form of social interaction that largely dispenses with laughing aloud would deprive the body and mind of benefits associated with laughing aloud. And presumably laughter is just one of the many salubrious effects of social interaction that may be diminished when socializing alone.
Our hypothesis of reduced social engagement and impact when socializing alone was motivated by several converging phenomena. One was a review of multilaboratory replication projects in social psychology (Baumeister et al., 2022). Most of these failed, but the few that featured live social interaction fared much better. A possible implication is that many social-psychological processes function more effectively when one is with others rather than physically alone.
Another was the COVID pandemic lockdown, which required most universities to replace in-person lectures with online ones. Many professors simply delivered their usual lecture over Zoom instead of in a live classroom, so students often listened while physically alone (and with asynchronous presentations also temporally alone). The informational content was presumably the same, yet students reported learning loss, mind-wandering, and reduced motivation to study (e.g., M. Shin & Hickey, 2021; Walker & Koralesky, 2021; Wong et al., 2023). The students’ losses were hardly unique. A news report concluded that the widespread switch away from office work to remote work led to some reduction in overall productivity despite the savings in commuting time (“Physical proximity has big effects,” 2024).
Reports of so-called Zoom fatigue (an unpleasant state of low energy) also began to emerge as students and workers spent more time in videoconference meetings, with a sharp increase during the pandemic and often continuing afterward (B. J. Li & Yee, 2024). CMC meetings seem more exhausting and unpleasant than FTF meetings (Nesher Shoshan & Wehrt, 2022). Crucially for our purposes, Nurmi and Pakarinen (2023) distinguished between active and passive fatigue. Active fatigue comes from working hard, such as to focus attention, but it was not typical of Zoom fatigue. Instead, Zoom fatigue is passive fatigue, a feeling of drowsiness as a result of less stimulation, suggesting reduced impact (our hypothesis).
Definitions
We use the term “computer-mediated communication” broadly. In particular it includes phones, especially smartphones. “Technology-mediated communication” would be more precise, but communications researchers have established the conventional practice of describing all such communications as computer mediated, and we follow that.
By “engagement” we denote active participation with the full social self. Maximum engagement would include devoting one’s full attention to the interaction. It means also that one’s full emotional repertoire is ready to respond, so appropriate emotional responses would be a sign of high engagement, as would physiological arousal. Extensive cognitive processing would also be included, as one would expect with full attention and high emotional arousal. Reduced engagement does not mean the opposite or complete absence of those but merely lesser amounts of attention, emotionality, arousal, and information processing.
“Impact” denotes the psychological consequences of the interaction, which of course should be greater when engagement is higher. It includes emotional reactions, physiological arousal, take-away cognitive outcomes (e.g., attributions, lessons learned, inferences), and changes in attitudes or behavior. These changes may particularly include changes in the relationship to the interaction partner, such as increased or decreased liking, trust, and respect. Behavioral outcomes may include group performance, creative output, or joint decisions.
Theory: Socializing Alone
Media richness theory (Daft & Lengel, 1986) proposes a hierarchy based on the amount of information available (Rhoads, 2010), with FTF interactions offering the most information. Video chats introduce spatial distance but reproduce much of the information, including facial expressions and tone of voice. Traditional phone calls convey vocal information but not facial expressions or body language. Text-based communication offers only written words and symbols, and often these are asynchronous, thus adding temporal to spatial distance. In last place comes the only traditional form of nonpresent interaction, namely writing letters on paper and sending them by mail—which was for centuries almost the only option for remote social interaction.
It seems reasonable that any loss of impact and engagement would become progressively larger as one moves down that list. When people are interacting via Zoom, the psychological response should seemingly be close to live interaction (although Zoom fatigue is one sign that already something has been lost). At the other extreme, writing a letter or email message may show relatively large deficits in impact and engagement. It is important to note that the response does not presumably dwindle to zero. Our hypothesis is that engagement and impact are reduced, not eliminated.
Indeed, some features of FTF interaction are entirely lost with all forms of CMC. Many FTF interactions involve some amount of touching, even just a brief handshake, let alone a welcoming hug or pat on the back. Physical touching can communicate distinct emotions (Hertenstein et al., 2006), alleviate negative emotions (Coan et al., 2006), and strengthen interpersonal bonds (Dunbar, 2010). Smell is also entirely lost, and although humans do not generally sniff each other like dogs, they often quietly sniff their hands after shaking hands with someone (Frumin et al., 2015).
Dimensions of Possible Change
The central hypothesis was that interacting without physical presence reduces impact and engagement. These effects could potentially be observed as changes in multiple variables.
Emotion
On one hand, decreased impact during solitary socializing could produce a broad reduction of emotional intensity. On the other hand, some emotional effects could be asymmetrical by valence. In particular, given that most social interactions are pleasant, reduced impact from nonpresent interactions would make for less positive emotion.
A more complex prediction could be made on the basis of Walther’s (1996) theory of social information processing, including hyperpersonal interactions. Walther started by assuming that in-person interaction enables the parties to get information from each other via multiple cues, some of which are lost in CMC. That could itself produce a reduction in impact. However, people may seek to compensate for the loss of information by translating emotional and attitudinal expressions effectively into remaining communication codes—language, timing, even emoticons. They may also take advantage of the malleability of self-presentation using these relatively more controllable channels, tailoring messages to exaggerate desirable (and minimize undesirable) features of themselves. Those who receive these elevated self-presentations respond further to the gaps from normal information by imputing impressions as best they can. To do so extrapolates from what information they do receive, and so people may end up exaggerating the impact of such communications and overreacting to them. The tendency for couples who meet online to overly idealize their prospective paramours through extended CMC exchanges, only to be disappointed on meeting FTF, is an example of hyperpersonal interaction (Ramirez et al., 2015).
Arousal
Decreases in physiological arousal would be one marker of reduced impact and engagement. Zajonc’s (1965) social facilitation theory proposed that the mere presence of other people causes arousal to increase. It may increase less when interacting via technology.
Insofar as emotions are boosted or indeed underpinned by physiological arousal, a reduction in arousal could simply be a side effect of the emotion effect. However, arousal can occur as a purely physical response, without emotion.
Interpersonal attraction and liking
Social interactions shape and alter interpersonal relationships. Shifting to nonpresent interactions could reduce or change these effects. For example, attraction and liking are increased by interpersonal mimicry but reduced or eliminated when one cannot see the other person’s bodily movements. Obviously, other physical expressions of affection are eliminated when socializing alone, and the absence of handshakes, friendly or romantic kisses, hugs, high-fives, and the like may reduce interpersonal attraction. It may also be easier to synchronize with each other when in person, and that synchronization likewise may encourage attraction.
Most importantly, reduced impact and engagement should slow or weaken processes by which people develop relationships, either in dyads or in larger groups. Trust, group cohesion, and other processes may fail to develop fully or may simply take longer.
Threat and inhibition
Suler (2004) provided an early treatment of an “online disinhibition effect.” Although the Freudian basis of his theory is somewhat behind the times, his emphasis on anonymity and invisibility provides a plausible basis for disinhibition. Physically threatening aspects of live interaction are eliminated when one is socializing alone. Text-based communication may also circumvent some markers of threat, such as an angry tone of voice or a negative facial expression. Shy people may be more willing to type a comment in a chat box during a Zoom lecture than raise their hand during an in-person lecture. People’s reluctance to criticize others or depart from an apparent group consensus may be diminished when others are not physically present (cf. groupthink; Janis, 1982).
It is possible that the impact of socializing alone on inhibition has changed over time. Neubaum and Krämer (2018) commented that there was early enthusiasm for the positive benefits of online communication given that any immediate physical threat was removed. However, over time it has become increasingly apparent that the social danger of CMC is much greater than FTF interactions, as indicated by the online outrage mobs. The danger resides in the fact that most text communications do not vanish into thin air as do nonrecorded verbal comments, thereby removing plausible deniability. Neubaum and Krämer found that hypothetical willingness to express unpopular opinions was higher in offline as opposed to online formats. This was linked to fear of being personally attacked online. The authors noted the irony that the elimination of physical risk in online communication was accompanied by an intensified risk of online attack. Thus, CMC is disinhibiting in some ways and contexts—but more threatening and riskier in others.
Ambiguity
Perhaps the most precise way of expressing the effect of lost information during CMC is that it heightens ambiguity. For example, the same words may be relatively ambiguous in an email compared with in-person communication accompanied by tone of voice, body language, facial expressions, and additional contextual signals. Effects may therefore be different as a function of differential tolerance of ambiguity, or as a projection of the recipients’ own beliefs and emotional states. They may also produce both the weaker overall reactions and occasional (hyperpersonal) overreactions.
Task performance
Last, task performance could be affected by the lack of physical presence of others. For group tasks, the most likely consequence would be a decline in performance caused by the lesser communication. Lower engagement might also reduce motivation and effort. A positive effect might occur such that if people are less inhibited when interacting at a distance, then they might bring up more alternatives and suggestions, and they may be more willing to criticize what the group is doing, which could help correct some mistakes. For individual tasks, performance could improve, especially on difficult tasks.
Evidence: Studies Comparing FTF Interactions and CMC
This section reviews evidence comparing FTF interactions and CMC. The central hypothesis was that the latter reduces impact and engagement.
Literature search
To obtain relevant studies, we searched titles and abstracts in the PsycINFO and Communication & Mass Media Complete databases until January 5, 2025, using the keywords “face to face” OR “face-to-face” OR “FTF” OR “F2F” AND “computer mediated” OR “computer-mediated” OR “CMC.” In other words, studies needed to contain both an FTF condition and a CMC condition to be included in the literature search. We augmented this set of studies by perusing the References sections for further studies. The literature search was restricted to empirical studies published in English. The literature search was not restricted by publication year. The search retrieved 1,158 articles. We read all the abstracts and selected the articles having any relevance to the hypothesis of change in engagement and/or impact.
Group performance and decision-making
Advantage FTF
Several studies have found that performance and decision-making are worse in CMC groups than in FTF groups over multiple domains. For example, CMC groups performed worse than FTF groups at designing an advertising campaign (Becker-Beck et al., 2005). In an experimental study that offered a cash prize for the top three (of 64) teams, CMC groups made less accurate decisions in a simulated military-threat environment that involved monitoring aircrafts that entered the team’s airspace (Hedlund et al., 1998). An early longitudinal study found that CMC groups performed worse than FTF groups on negotiation and intellective tasks, but no difference was found for decision-making and idea-generating tasks (Hollingshead et al., 1993). An experiment found that CMC groups were less productive despite feeling more satisfied and exhibiting some signs of higher cohesiveness (Straus, 1997).
More recently, a large investigation with both laboratory and field studies found that FTF groups produced more ideas and more creative ideas than CMC groups (Brucks & Levav, 2022). The FTF participants were more engaged in the immediate moment, as indicated by more eye contact with a partner and by greater memory for the contents of the room, whereas the CMC participants focused more narrowly on the screen, which seems to have reduced the mind’s ability to wander in new, creative directions. The authors noted that although CMC increased looking at the screen and hence the partner, it did not create a feeling of genuine eye contact. Focusing on the screen may also have prevented the wandering gaze sometimes linked to creative thought (Salvi & Bowden, 2016).
Learning is slower and harder with CMC than FTF teaching. An earlier study of Dutch sixth graders found that they learned how to solve math problems less effectively with CMC than FTF instruction and were less satisfied (van der Meijden & Veenman, 2005).
Students working together to construct utterances in a foreign language they were learning collaborated less successfully via CMC than FTF (Kim, 2014). Undergraduate students working in three-person groups on two class assignments achieved lower grades if they were randomly assigned to complete the assignments via CMC compared with FTF groups (Lin, 2020). This may have reflected the asynchronous communication, which slowed the exchange of information and created ongoing uncertainty as to whether other group members were going to respond and communicate. Notably, the FTF groups generally completed their task in a single meeting. The impending end of the meeting may have pushed them to finish, a factor that was absent from the CMC groups.
Advantage CMC or mixed
Evidence for superior performance with CMC, compared with FTF interactions, is sparse. One study found that leaders of CMC groups were better than the leaders of FTF groups at keeping track of which individual team members performed better (Hedlund et al., 1998). This may be due to communicating via typed messages, which do not vanish like spoken words.
In group problem-solving, text-based CMC led to worse performance than FTF interactions on some measures and no difference on others (S.-C. S. Li, 2007). Mixed results were obtained in another study (Tutty & Klein, 2008), perhaps because students were enrolled in a computer-literacy course, which may have given an advantage to computer use. Some studies have found no differences in performance between FTF interactions and CMC. A series of three experiments found group performance was the same on eight of nine problems, and the other one favored FTF groups (Laughlin et al., 1995). An experimental study of focus groups found no differences in either the quality or quantity of information (Underhill & Olmsted, 2003). A study that compared FTF with chat-window CMC on tutoring students on physics problems found that most of the outcomes were the same, although the chat window took longer (Siler & VanLehn, 2009).
The performance difference found in an experimental study by Roch and Ayman (2005) was not significant, although the effect size estimate favored the FTF groups and was nontrivial in size (d = 0.29), and the FTF groups rated themselves as having been significantly more successful than the CMC groups. The most interesting finding from that project was that the group’s rating of its performance was better aligned with its actual performance in the CMC than the FTF groups. The authors argued that CMC “puts the focus on the message and not the messenger” (p. 27). This would be consistent with our hypothesis of lesser engagement (of the person).
Mediating processes
Other studies shed some insight into underlying mechanisms. In one experiment (Roseth et al., 2011), participants perceived more cooperation in the FTF groups and in the synchronous CMC groups—compared with lesser cooperation in asynchronous CMC groups. Nearly all the FTF and synchronous CMC groups completed the task compared with only 63% of the asynchronous CMC groups. No doubt asynchronous CMC offers some advantages in terms of convenience, but it may reduce motivation and thereby increase attrition. The reduced participation is certainly consistent with our hypothesis of lesser engagement.
In a similar vein, researchers have found some disadvantages for CMC compared with FTF meetings (Strømsø et al., 2007). Specifically, the CMC meetings produced fewer utterances and fewer words per utterance, generated less elaborate working goals for the next meeting, produced more initial comments but fewer responses, devoted less time and energy to communicating about the task itself, and ultimately got less benefit from the learning exercise. The reduced responses are a clear indication of lesser engagement.
In related findings, the normal flow of FTF conversation with spontaneous turn-taking appears to be degraded during CMC (Zoom) interactions (Balters et al., 2023). Brain scans during the interaction revealed that interbrain coordination was less with CMC compared with FTF interactions. A set of experiments found that the flow of conversation was disrupted during Zoom calls, with substantially longer delays in answering questions and between speaking turns in unscripted interaction (Boland et al., 2022). The delays were far longer than the extra time required for electronic transmission.
A revealing pattern of moderation by individual differences was reported in another experiment (Crossley et al., 2016) in which participants were asked to negotiate a purchase of concert tickets. Participants with dark triad traits (narcissism, psychopathy, Machiavellianism) were significantly more successful than other participants in the FTF condition, but not with CMC. This raises the disturbing potential implication that many of the advantages shown for FTF interaction are carried by people high in these dark traits. In any case, it does show that certain interpersonal skills, including illicit ones, may be more effective in FTF than in virtual interactions. This fits the hypothesis of lesser impact in CMC.
In a study involving graduate students, Rockinson-Szapkiw and Wendt (2015) found that groups who used synchronous CMC performed better than those who communicated asynchronously. The difference was significant despite the compression of grades typical of graduate courses. The synchronous groups also rated the experience as better and the teacher as more engaged.
Conclusion
CMC interactions were generally found to be less conducive to good performance and good group decision-making than FTF interactions. There were some scattered advantages for CMC, and some null findings, but most went the other way. Lower engagement was indicated in multiple ways.
Disinhibition
If CMC interactions have less impact than FTF interactions, then FTF interactions may be more inhibiting. Inhibitions often involve comparing the self to standards, so a lesser engagement of self could mean lesser inhibitions. Socializing while alone may reduce various inhibitions about criticizing others, disclosing personal information, or bringing up alternate perspectives. It is possible that it might therefore increase conflict within the group.
Alternative perspectives
Multiple findings confirm that CMC disinhibits people from bringing up alternative perspectives. People are more willing to speak out and express opinions in CMC than FTF interactions (Ho & McLeod, 2008).
Two different measures of communication yielded meaningfully opposite results in a study of “electronic brainstorming” (Kerr & Murthy, 2004). The CMC groups produced higher quantity but lower quality suggestions. More precisely, the CMC groups (using synchronous typed chats) produced 50% more suggestions than FTF groups, consistent with a disinhibition of divergent thinking. However, much of the difference was due to poor-quality suggestions deemed irrelevant by the judges. When researchers discarded the poor-quality suggestions, however, the CMC groups still had a slightly higher quantity of the good ones. These findings fit the view that FTF interactions can be inhibiting, and these inhibitions are reduced during CMC.
As noted earlier, a study of focus groups found no differences in either the quality or quantity of information between FTF and CMC groups (Underhill & Olmsted, 2003). Another study found that the CMC groups considered more alternatives but took longer to reach decisions compared with the FTF groups (Valacich & Schwenk, 1995). This too suggests disinhibition in the form of collectively considering more alternatives.
Sometimes individuals feel pressure to conform to the group, and this could in theory be reduced in CMC groups. Evidence consistent with this was provided in a study in which groups rated products and could see others’ (ostensible) ratings (Schlosser, 2009). People conformed less in the CMC than the FTF groups, thereby incorporating the alternative perspectives into their own judgments.
The disinhibiting effects of CMC were found in another experiment in which group members were given different information to pool to reach the right answer (McLeod et al., 1997). Minority opinions were expressed more readily in the CMC than FTF groups—but, when they were expressed, they had more influence in the FTF than CMC groups. These findings fit the pattern that socializing while alone disinhibits people from bringing up alternative viewpoints but also increases the tendency to ignore what other people say.
Obligation to respond
Indeed, the flip side of the greater willingness to express ideas in CMC than FTF interactions may be less responding to ideas that others express. Adrianson and Hjelmquist (1999) found that CMC was plagued by failures to respond. Socializing while alone may disinhibit people from feeling an obligation to respond to others, resulting in more messages remaining unanswered. Again, this suggests less engagement via CMC than FTF interactions.
Conflict
Straus (1997) found that CMC groups had a higher proportion of communication about the task and, crucially, were more willing to argue about the group task. Note that arguing could signify engagement, however, contrary to our hypothesis. Still, if one disagrees with how others are proceeding, being engaged in an FTF situation may inhibit people from speaking out, whereas they may be more willing to raise the objection via CMC.
Reduced inhibitions can account for the findings that CMC groups showed more conflict than FTF groups (Hobman et al., 2002). Specifically, the CMC groups expressed more disagreement about the process of working on the group project, and they had more relationship conflict. There was no difference in conflicts about the task itself, although earlier work (Straus, 1997) had found more task conflict in CMC groups.
When conflicts do arise, they may be managed differently. Researchers found that FTF groups had more positive conflict management, thus dealing with disagreements in a constructive fashion such as with logic and sharing ideas (Zornoza et al., 2002). In contrast, the CMC groups had more negative conflict management, such as suppressing dissent.
Criticism
Interpersonal evaluations have also been studied (Rains et al., 2019). In each dyad, a confederate described missing a final exam for which they were either responsible (alcohol hangover) or not responsible (food poisoning). The evaluations were most negative among pairs that interacted by instant messaging and had not met in person. They were intermediate with instant messaging following an initial in-person introduction, and they were least negative in FTF interactions. The researchers interpreted this finding as fitting Walther’s theory of hyperpersonal interactions: Participants using CMC may have used their imagination to fill in missing information, thereby making the problem seem worse. It could also indicate that inhibitions about criticizing someone to their face are reduced via CMC. Regardless, the finding indicates that CMC disinhibits criticism.
Interpersonal appraisals were compared by Hebert and Vorauer (2003). Some participants wrote brief essays, and others delivered evaluations. The CMC appraisals were more critical than the FTF appraisals, consistent with the view that CMC disinhibits people from expressing criticism.
An experimental study had groups work together in a competitive system (Tangirala & Alge, 2006). During their work, they were told that the authorities had changed the rules in a way that put their group at a disadvantage. The CMC groups expressed more objections than the FTF groups. The greater outrage does, however, run contrary to our general hypothesis of lesser engagement and impact in CMC. There is unfortunately no way of knowing whether the CMC groups actually felt more outrage (which would contradict our hypothesis) or merely felt freer to express it (which would be consistent with it).
Interpersonal disinhibition
The idea that people are less inhibited in CMC than FTF interactions has received some support from Antheunis et al. (2012). Participants expressed more affection and disclosed more intimate information in CMC, both video-based and text-based, than FTF interactions. The study may have been unusual in that it consisted entirely of mixed-gender dyads whose only task was to get to know each other. They may have been warmer to each other via CMC to compensate for the loss of information vis-à-vis FTF interactions. (The hyperpersonal theory predicts precisely such compensatory intensification.) This finding is contrary to our broad hypothesis of lesser engagement, and contrary to much other evidence we have reported, so it may be specific to this sort of interaction. It does, however, offer a useful example of how the usual pattern can be reversed in favor of CMC. Alternatively, it may be that the CMC disinhibited participants from expressing affection.
Superficially different findings were reported in another study (Croes et al., 2018). Participants chose among various possible interaction formats (FTF, video-based CMC, text-based CMC, and audio-only CMC) to make either a positive or negative self-disclosure (randomly assigned as either regarding surpassing one’s personal best jogging time or receiving a diagnosis of a sexually transmitted infection). Video-based CMC was the least favorite, whereas FTF interaction was the most preferred, with the audio-only and text-based CMC in second and third place, respectively. The low general preference for audiovisual CMC may seem surprising, but perhaps it seemed less intimate than FTF interactions but more embarrassing than text-based communication.
Some patterns of individual differences support the disinhibition hypothesis by showing that CMC appeals to people worried about threats. Researchers found that people who reported higher competence at email than FTF interactions scored higher on fear of negative evaluation (related to shyness) and preferred to rely on email to handle difficult personal situations (Keaten & Kelly, 2008). People who have online relationships score higher on shyness than other people (Ward & Tracey, 2004), again suggesting that the social safety of remote interaction enables them to connect better with others and avoid the inhibitions associated with FTF interactions. Indeed, the higher people scored on shyness, the more problems they had with both FTF and CMC relationships, but the problems were greatly attenuated with CMC.
Further evidence of the disinhibiting benefits of CMC was provided in a study of how people requested resources (Roghanizad & Turetken, 2024). Such requests were far more effective when made in person than via email, but people underestimated the difference in effectiveness and therefore often used email instead. Requesting resources via email helped avoid any awkwardness or embarrassment associated with help-seeking, although there was a reduced chance of getting the request fulfilled.
The threat of embarrassment may be minor or absent for many people most of the time, but one particularly vulnerable group is people learning to speak a foreign language. Even comparing different kinds of CMC, students learning English as a second language worried more about making mistakes and looking stupid when communicating by video rather than an instant-messaging chat (van der Zwaard & Bannink, 2014). The latter allows individuals more time to double check their utterances and prevents others from seeing them blush or look flustered. This constitutes a positive benefit of remote interaction.
A seemingly contrary finding was that pairs of students worked together to construct utterances better via FTF interactions than CMC (Kim, 2014). We suspect the difference revolved around the interaction partner: The fear of embarrassing oneself is greatly reduced when talking with someone else who is learning at the same level.
Tokunaga (2009) found that people disclosed less via CMC than FTF, contrary to the ostensibly disinhibiting effect. This effect was substantially stronger among collectivistic versus individualistic students. Presumably the collectivistic students were more susceptible to threat insofar as their focus was on how they appeared to others in the group, whereas the individualistic students may have been more oriented toward expressing their inner selves and feelings rather than worrying about what others might think. The lesser disclosure might reflect lesser engagement.
As noted earlier, Kennedy et al. (2010) found that participation in decision-making was lower in text-based instant-messaging groups than in FTF groups. There was also more initial conflict among members, which could have stemmed from people being less inhibited and hence more willing to express disagreement in CMC groups. However, in the end, the CMC groups apparently enabled some individuals to hang back and not take part in the group decision, which was perhaps more difficult to do when the group met FTF. Still, this finding is somewhat at odds with the evidence that shy people are more willing to participate in CMC than FTF interactions.
Insight into possible mediating mechanisms comes from evidence that CMC groups generate more suggestions that receive no response (Adrianson & Hjelmquist, 1999). When interacting FTF, people may feel a normative obligation to respond to whatever is said to them. CMC interactions make it particularly easy to desist from responding. This may be another form of disinhibition: One feels freer to fail to respond to email than to an FTF comment.
Conclusion
The bulk of findings indicate that CMC reduces some inhibitions. Interacting via technology makes people more willing to bring up alternative perspectives (including some lower quality ones), disagree and not conform, criticize others, and fail to respond. All these patterns are consistent with lower engagement of the self, with its inhibitions and obligations.
Emotion and arousal
Research has generally shown that CMC breeds less positive emotional states than FTF interactions. A diary study (Kafetsios et al., 2017) found that CMC resulted in fewer positive emotions and more negative emotions, and lower overall satisfaction, compared with FTF interactions. Participants who had scored high on an anxiety inventory perceived more success with the CMC than the FTF interaction, whereas low-anxious people perceived no difference. Thus, interacting anew with a stranger can provoke some anxiety, especially in anxiety-prone individuals, but CMC reduces this anxiety.
Anxiety was lower in CMC (Google chat) than in FTF interactions in a study by Shalom et al. (2015), although there was no difference on physiological measures of arousal. We note that the seemingly contrary findings by Neubaum and Krämer (2018) described earlier were linked to expressing unpopular opinions, in which case the online environment would be more threatening.
An impressive study by Lepisto et al. (2025) had participants tell personal anecdotes of overcoming adversity either FTF or via CMC. In some cases, the listener was distracted by a mental arithmetic task. FTF storytellers became more aroused, as measured by skin conductance, when the listener was thus distracted, but this did not happen in the CMC condition. (Self-reported arousal yielded no differences.) The implication is that FTF speakers become agitated when they sense that the listener is not attending closely, and this heightened arousal may enable them to reengage the listener—but this process is apparently absent in CMC. 1
Three large studies involving college students found that well-being was highest after FTF interactions, medium after CMC, and lowest after not socializing (Kroencke et al., 2022). Thus, importantly, socializing alone is better than not socializing, but it lacks the full beneficial impact of FTF socializing. This fits our hypothesis that the self is (only) partly engaged in CMC compared with FTF interactions. Another important finding was that it was moderated by the type of interaction partner. The difference between interacting with an emotionally close peer versus someone less close was smaller in the CMC than the FTF interactions. In other words, the affective benefit of interacting with a favorite partner, a good friend, was particularly blunted when one interacts online rather than in person. Across all studies, interactions with close peers led to the highest overall well-being, so the decline of this benefit in CMC is particularly costly. Likewise, Olaniran (1996) found that satisfaction was lower following CMC than FTF interactions.
A large survey during the COVID pandemic summarized its findings in the title “Digital Contact Does Not Promote Well-Being, but Face-to-Face Contact Does” (Newson et al., 2024). Text messaging was correlated with lower well-being, whereas video contact and phone calls were uncorrelated with it.
An intriguing twist was found in an experience sampling study (Kushlev & Heintzelman, 2018) in which students were asked whether they had had either an FTF interaction or CMC in the past 15 min—or neither, or both. Perhaps surprisingly, “both” was the most common response, indicating generally that participants had interacted with different people via different media in the same quarter hour. In general, well-being was lower after having both kinds of interaction compared with having only FTF interactions. This suggests that CMC contact can diminish the benefit of FTF interaction. If a person is interrupting an FTF interaction to answer texts, for example, it may diminish the quality of the FTF interaction.
A survey of military personnel following a negative personal life event found that social support was helpful (Lewandowski et al., 2011). This was more strongly true of FTF interactions than CMC. Some of the emotional benefit of social support was lost when socializing alone. However, that study focused on voluntary and informal support. With professional one-on-one therapy, engagement would presumably be high, thus reducing the disadvantages of CMC. Indeed, a meta-analysis by Fernandez et al. (2021) found that such video therapy was significantly effective and not different from in-person therapy. It was particularly effective with emotional problems, including anxiety, depression, and posttraumatic stress disorder.
Thus, CMC blunts positive emotion, but the limited evidence is mixed as to whether negative emotions are increased or decreased. There may be some dissatisfaction but also lower anxiety. Reduced communication of emotion could be relevant, but some evidence speaks against that. An experimental study found that emotional communication was about the same whether participants interacted FTF or with CMC (Walther et al., 2005). Interactions were among strangers, and emoticons counted as emotional expression. In that sense, people seemed to express their emotions both FTF and with CMC.
Interpersonal relations
This section considers diverse findings on the interpersonal consequences of CMC. One broad theme is that CMC can strengthen relationships that began with FTF interactions, but when they supplant rather than augment FTF interaction, their effects tend to be negative (see Liu & Baumeister, 2016; Liu et al., 2016). Dating couples benefit from adding technological interactions, especially for sharing nonintimate information (Boyle & O’Sullivan, 2016). Likewise, CMC improves adolescents’ social connections—even after controlling for FTF interactions (Manago et al., 2020). An experimental study of CMC problem-solving found that having an initial FTF introduction helped develop more trust and collaboration and thereby improved the CMC performance (Hill et al., 2009). (The effect was especially strong when the social context was competitive. Insofar as competition is engaging, this finding again suggests a deficit in engagement during CMC.) Kennedy et al. (2010) found that some of the negative effects of CMC were reduced in groups that had an initial FTF session, but the FTF groups performed better and rated higher satisfaction than the groups that interacted partly or wholly with CMC. A possible exception was identified in an experiment that found that the only woman in a group otherwise made up of all men felt more included when the first interactions were CMC (Triana et al., 2012).
Overall, CMC groups were less productive, although sometimes more cohesive and more satisfied, than FTF groups (Straus, 1997). The CMC groups had a higher proportion of on-task communication and more disagreements (as noted above), and they also had more equal participation among group members. (The latter again suggests the inhibiting effect of FTF interactions, which may particularly silence shy and anxious people.)
Equality
An early study found greater equality in CMC than in FTF groups (Dubrovsky et al., 1991). The researchers manipulated status by having each group consist of one high-status graduate student and three lower status first-year undergraduate students. In the FTF groups, the high-status person quickly dominated the conversation and was often the first to advocate a decision (which was influential), but these differences were attenuated in the CMC condition. Apparently lower status people are more willing to speak up in CMC than in FTF interactions.
However, not all findings fit the theory that CMC promotes equality. Participants in a first experiment simulated a job interview in which one was assigned to be the hiring boss and the other a candidate (Boucher et al., 2008). The status difference was effective with both types of communication, but it was stronger with CMC. A follow-up study that had participants interact without assigning different roles with different statuses found no difference, so status differences did not emerge from a starting point of equality. Participants in the first study may have compensated for the loss of information in CMC by being more explicit in their role enactment, which then established the status difference.
Interaction patterns, engagement, and reciprocation
A methodologically sophisticated study by Zhao et al. (2023) had people interact in the same room, either FTF or via CMC. In the latter condition, they sat the same distance apart as in the former, but in between them was a screen that showed their facial image in real time. Thus, the image was identical in the two conditions (as was the physical distance). Despite this, people seemed to engage less with the computer-image face, as indicated by several measures. First, their gaze dwelled less long on the virtual than the actual face, suggesting lesser affective bonding or engagement.
Pupil dilation indicated that people were more aroused in the FTF condition, indicating that some of the excitement of social interaction was missing from those who engaged with a face on a screen. Pupil dilations tended to match up between participants and reciprocate in the FTF condition but were less successful at matching in the CMC condition. The lesser matching may be a sign of lesser coordination between the interaction partners.
Taken together, these results suggest that the eye-to-eye communication and reciprocation that facilitate live interaction are hampered with computer mediation. In discussing their findings, Zhao et al. (2023) noted that Zoom does not really enable eye-to-eye communication because one must look either at the camera or at the other person’s image, which are not exactly in the same place.
Brain activity was also measured in this study, and again there were differences between FTF interactions and CMC. These differences indicated separate processing, possibly showing that computer-image faces are processed separately from live ones in the brain. Cross-brain synchrony was reduced such that the various brain parts were not working together as a unit as much with CMC. All of this is consistent with our hypothesis of lesser engagement.
Again, we emphasize that the physical presence was the same in both conditions, which indicates that physical presence is not the sine qua non of impactful interaction. Some studies on social facilitation have also found no impact from the physical presence of another person when that person was blindfolded and inactive (Cottrell et al., 1968).
Cohesion
Mixtures of FTF interactions and CMC were examined in a field study (Y. Shin & Song, 2011). The more FTF time the group had, the more social cohesion the group had. Time spent in CMC was irrelevant to social cohesion. These findings were correlational, so causality remains ambiguous and quite possibly bidirectional. Still, they fit the view that interpersonal engagement is reduced during CMC, allowing more task focus but detracting from bonding.
In a study with similar implications (Sprecher & Hampton, 2017), pairs of participants engaged in three interactions. Some had the first one via texting, then video CMC, and finally FTF, whereas others did all three FTF. CMC produced less positive feelings toward the interaction and the partner than FTF interactions. But the differences between conditions vanished after the third interaction, which was FTF for all. Thus, CMC did not damage the relationship, and it was apparently easy to catch up in positivity, so to speak, once they had made the transition to FTF. Still, FTF interaction was clearly better at building cohesive relationships.
Suggestive support was provided in a study of romantic relationships (Scott et al., 2006). Online romantic relationships were rated as less intimate than FTF ones. The people who had online romantic relationships also reported lower intimacy in their FTF relationships, which suggests the difference is less in the medium than in the person. Thus, perhaps people who have issues with intimacy may favor online relationships.
Building on prior evidence that CMC and other non-FTF interactions contribute to idealizing one’s relationship partner, one study surveyed friendships that were previously FTF but switched to CMC (Brody, 2013). Consistent with the idealization hypothesis, the longer the relationship had been CMC (i.e., length of time since last FTF interaction), the higher the relationship satisfaction. This could mean that CMC produces more idealization of the partner. However, it could also mean that unsatisfactory relationships are less likely to survive physical separation, so they drop out, thereby boosting the mean satisfaction of the continuing ones.
An experimental study found that trust among members was slower to develop in CMC than FTF groups over a 3-week period, although it did eventually reach comparable levels (Wilson et al., 2006). These findings all indicate that CMC sacrifices some of the personal connection, but this is not permanent damage. Similarly, an early study of groups that met repeatedly over several weeks found that good relations were slower to develop in CMC than in the FTF groups, but eventually they reached the same level of harmony (Walther & Burgoon, 1992).
Positive evidence for both kinds of communication was likewise found by Saltarelli and Roseth (2014). However, asynchronous text-based communication was less effective. Thus, CMC can work well, but more is lost when the communication shifts away from real time. It is easier to drop out of asynchronous than synchronous groups.
There are other benefits of CMC, too. First-year college students who had not yet made friends on campus benefited from staying in touch with old friends via CMC (Ranney & Troop-Gordon, 2012). Others who had friends on campus but were dissatisfied with the low quality of their local friendships felt better insofar as they used CMC with old friends. Students who reported depressive affect were particularly prone to use CMC with old friends to offset low-quality local friendships.
Some studies found no differences. Romantic couples in one study discussed a conflict in their relationship (Pollmann et al., 2020). Whether they discussed the conflict FTF or with CMC made no difference in outcomes. However, these couples already had well-established FTF relationships.
In sum, these studies suggest that trust, cooperation, and other hallmarks of cohesion develop more slowly with CMC than FTF interactions, consistent with the hypothesis of lesser impact and engagement. Switching to FTF allows the groups to catch up quickly in terms of higher cohesion, and sometimes the cohesion develops in CMC groups eventually.
Hyperpersonal intensification
There has been a variety of support for the hyperpersonal model of CMC (Walther, 1992, 1996), which posits that some interpersonal processes are intensified because people compensate for the lesser information by elaborating on what they do receive, figuratively filling in the gaps. People made more extreme attributions about their interaction partners in CMC than FTF interactions in one experiment (Jiang et al., 2011). Research assistants posing as naive participants made identical self-disclosures either FTF or with CMC. These disclosures either revealed an important personal problem or a lesser issue. The personal problem caused the participant to feel greater intimacy toward the confederate, especially in the CMC condition. Intimacy was statistically mediated by making more extreme trait attributions to the confederate. To be sure, this may have been around the time that people were beginning to realize the risks of textual self-disclosure, and so the fact that the confederate put the problem in writing may have contributed to the stronger impact.
A follow-up investigation confirmed that people perceived identical disclosures as more intimate in CMC than FTF communication. Moreover, they responded to this seemingly heightened intimacy by disclosing more intimate material themselves.
Earlier work by Hancock and Dunham (2001) had two actual participants interact either FTF or via instant messaging, after which they filled out impressions of each other’s personality traits. The text-based interaction led to less detailed impressions—but more intense ones.
In contrast, a meta-analysis on self-disclosure failed to confirm the “hyperpersonal” notion that intimacy (depth of self-disclosure) can be greater in CMC than FTF communication (Ruppel et al., 2017). It found that people disclose more in FTF interactions than in CMC, contrary to the disinhibition hypothesis (but consistent with the engagement hypothesis). The effect was mainly associated with intimacy of self-disclosure rather than with greater breadth (i.e., variety of topics), which particularly speaks against the hypothesis that CMC facilitates intimacy. It may well be that people had begun to realize that information disclosed via CMC remained in existence after the conversation, thereby reducing plausible deniability. Consistent with that view, the effect was greatest with text-based self-disclosures. The effect was still there but weaker with video-based self-disclosures. To be sure, such studies have found relatively few disclosures that were high in intimacy, and the variance has been mostly between low and moderate levels of intimacy.
In sum, there is evidence for hyperpersonal intensification with CMC but also some evidence against it. Most plausibly, it happens sometimes but not always. The fact that it happens sometimes is of more importance than the fact that it does not always happen.
Distinctive features of computer-mediated communication
We began with the hypothesis that people are less engaged in and impacted by CMC than live FTF interaction, but one could push the question further by considering what special features of CMC account for the difference(s). Typing is slower than talking, so text-based communication takes more time. Then again, typing also allows for more reflection.
Turn-taking norms guide oral conversations, including FTF, video, and audio (e.g., phone) conversations. These norms also largely prevail in instant messaging. In contrast, chat-room formats enable multiple people to contribute comments at the same time (Degand & van Bergen, 2018). These may confer advantages in larger groups such that all members can contribute their thoughts.
A crucial difference between text-based and oral communication is that spoken words vanish, whereas text-based utterances remain on the screen (or in the cloud). These do raise the social threat, insofar as a regrettable utterance could be saved or reproduced and shared by others, leading to reputational damage. Meanwhile, the visible thread of the conversation may have other effects. Walther et al. (2018) proposed that seeing one’s own utterances remaining on the screen can increase self-awareness and self-perception processes. In their experiment, some participants were trained to reciprocate disclosures, whereas others were instructed to deflect (i.e., respond but not reciprocate). Liking for the trained partner was higher when the partner reciprocated with self-disclosures than when the partner deflected—but this effect vanished when the untrained participant’s disclosures were not displayed in the chat box. Note the participant disclosed similarly in both conditions, and the partner also responded similarly. But seeing one’s own disclosures apparently promoted self-perception of liking. As the authors suggested, participants reacted along the lines of “I must like this person because I am disclosing personal information” (and the person is disclosing reciprocally).
Self-awareness has also been invoked by scholars to understand CMC (Sassenberg et al., 2005). According to this perspective, CMC heightens private self-awareness such that people become more focused on themselves. This may make them more resistant to influence attempts because they focus on their own prior attitudes.
A particular source of heightened self-awareness in video CMC is that many programs furnish each participant with a small image of the self alongside the image of the interaction partner(s) or other speaker(s). In an experimental study (S. Y. Shin et al., 2023), participants were randomly assigned to videoconferencing with or without the live self-image. Interestingly, participants who saw their own images alongside that of the partner ended up liking the partner less. They understood the partner less well, as indicated by less accurate predictions of how the partner evaluated them. Part of the problem may be that seeing one’s own image made people evaluate themselves less favorably, contributing to less satisfaction with the interaction. Alternately, the distraction of watching one’s one face, responses, and appearance during the interaction may have led to lesser engagement with and attention to the interaction partner.
The amount of distraction by one’s own image is highly variable, as recent eye-tracking research has verified. Using a dyadic Zoom meeting with side-by-side images, Joshi and Degner (2024) found that on average participants looked at themselves and their confederate about equally—but individual participants’ percentage of time in self-view ranged from 1% to 94%. George et al. (2022) found that men looked at themselves about 17 times across 25 min of Zoom conferencing with a larger group, whereas women looked at themselves about 133 times. Zoom may therefore impose a particularly distracting burden on women. Abramova et al. (2025) found that the more people looked at themselves, the less satisfied they were with the virtual meeting. Effects were particularly pronounced among people who checked their own image while others were talking, which suggests disengagement.
People may consider their interaction partners more responsive in FTF interactions than in CMC. (This runs against the hyperpersonal enhancement theory.) Participants in one study interacted with research assistants posing as naive participants who were trained to give identical responses whether FTF or text based, and the real participants rated them as more responsive in the FTF condition (Choi & Toma, 2022). Conveying emotion in the text-based condition was accomplished by using emoticons, which of course is difficult to equate procedurally with in-person emotional support. The findings thus indicate that emoticons are not a fully satisfactory substitute for emotional FTF communication.
Discussion
Thompson (2025) recently proclaimed the emerging 21st century “the antisocial century” on the basis of the sharp increase in time spent alone. Indeed, historian Ariès (1965) contended that prior to the 17th century, hardly anyone was ever physically alone. Privacy itself is largely a modern innovation (Ariès, 1965). But much of today’s solitary time is still devoted to social interaction—only the interaction partners are far away in space and (perhaps) time. We have presented multiple lines of evidence relevant to the hypothesis that the human self is less engaged in, and hence less impacted by, social interaction that occurs in CMC rather than FTF.
The immense benefits of technology for communication at a distance are undeniable. However, there is some loss of information (e.g., body posture and gestures, paraverbal cues such as tone of voice) depending on which technology is used. But perhaps something more is lost. Technology may offer wonderful new opportunities but does not change basic human nature. Humans, like all social animals, evolved in contexts of live, in-person social interaction. The broad mental–physical–social self might not be fully engaged when communicating with someone who is not right there with you.
Summary of main findings
Ample evidence fits the hypothesis that impact and engagement are reduced when socializing alone compared with interacting in the physical presence of others. Positive emotional responses are reduced. Regarding negative emotions, the results were mixed, with CMC possibly reducing some forms of anxiety but sometimes increasing other negative emotions. There were some signs of reduced physiological arousal, but more data are needed before a strong conclusion can be drawn. Group performance and decision-making are generally poorer with CMC than FTF interactions, although sometimes no different. Interpersonal attraction and group cohesion develop more slowly with CMC than FTF interactions, although multiple studies have found that eventually the CMC groups do catch up. The slower progress could mean that interactions are less engaging and less impactful, as we have hypothesized.
Communicating via technology is clearly superior to not communicating at all, but it is inferior in varying degrees to live, FTF communication. Some information is inevitably lost. Teaching does not seem to be as successful via CMC as FTF (as during the COVID pandemic). Walther’s (1992, 1996) theory of hyperpersonal intensification has received multiple lines of support, although many other studies do not support this theory. Delineating when it does versus does not happen is an important challenge for further work. CMC suffers from failures to respond, thereby also degrading communication. This may be particularly a problem with asynchronous exchanges (e.g., email).
Many findings suggest that solitary socializers do not process information as thoroughly as FTF socializers, consistent with the lesser engagement and presumably helping to account for the reduced impact. This may contribute to the poorer learning and decision-making.
CMC may reduce inhibitions—for better and worse. Shy people may become more willing to contribute to chat-room text discussions than to speak up FTF. People generate more ideas, including mostly low-quality ones. They feel freer to bring up alternative perspectives, which may reduce group cohesion but also reduce the errors of groupthink. People feel freer both to criticize others and to not respond to others via CMC than FTF.
As emphasized in media richness theory (Daft & Lengel, 1986; Rhoads, 2010), different communications media reduce the human touch to varying degrees. Multiple lines of evidence fit the view that synchronous video interactions sacrifice less than, for example, asynchronous text-based communication. Nevertheless, even the best media still lose something. Physical separation is enough to reduce some engagement, but temporal separation reduces it considerably more.
Well-being is typically increased with live FTF interaction compared with being alone. Solitary socializing is somewhere in between. There were even some hints of reduced well-being associated with text-based CMC. Social support after trauma improves well-being but less when the support is delivered via CMC than FTF. Video psychotherapy, an expensive dyadic interaction that is highly engaging for both parties, is about as good as FTF psychotherapy.
All of these findings are consistent with the hypothesis that CMC generally produces lower engagement and impact. Of course, effects are not uniform, but even the variations fit our hypothesis. When engagement is high (e.g., psychotherapy, among highly committed workers, among potential or actual romantic partners), video CMC is nearly as good as FTF interactions.
Implications
The human psyche was shaped by evolution to be highly social, and it responds to other people in multiple ways (Baumeister, 2005; von Hippel, 2025). Some of these may be lost or reduced when interacting with people who are not physically present. Even though CMC often concerns important matters, people may not be as fully engaged in it as in live, FTF interactions. Many of the phenomena demonstrated in social-psychology laboratories may occur only in diminished fashion or not at all when people socialize alone. Moreover, social psychology has responded to its replication crisis by insisting on ever larger samples, which in turn has largely taken data collection out of the FTF laboratory and replaced it with computer-administered procedures—which our findings suggest would weaken responses (see also Baumeister et al., 2022). It would be ironic and unfortunate if the field’s methodological response to replication problems ends up reducing replicability. However, low-engagement phenomena, such as heuristic processing about hypothetical scenarios, should fare well in CMC research.
Implications for society are complex given that CMC is increasingly common. If people gradually replace FTF interactions with socializing while alone, they may miss out on valuable and positive experiences. Whether this is indeed behind the mental-health problems of today’s young people, as Haidt (2024) has proposed, cannot be determined from these data, but it is certainly plausible that there would be some negative effects. Even just the reduction in laughter could depress the quality of life. Individual well-being aside, the consequences for society-wide functioning could be important.
Indeed, many modern trends involve replacing FTF interaction with CMC. As examples, one can have online medical consultations, CMC with banks, and international brainstorming sessions. This may improve access and convenience and reduce cost. The gains are palpable, such as being able to have a lively conversation with someone thousands of miles away. Nevertheless, it behooves us to be alert to what might be lost.
The increasing trend for digital and even artificially simulated agents to replace human interaction altogether is potentially costly in terms of lesser engagement and consequent deficits. One growth area in artificial intelligence (AI) is virtual boyfriends and girlfriends. Willoughby et al. (2025) found that almost one in four young people reports having engaged sexually or romantically with AI technologies (see also Pan & Mou, 2024). Whether that is something society should celebrate or discourage is a profound question.
The grander question is how the individual will be affected by switching from FTF interactions to CMC and experiencing a less engaging, less impactful social life. There is a long history of unconfirmed predictions that various innovations will bring disaster, so one must be skeptical of alarmist projections. Then again, the early returns are not encouraging.
Limitations
Several limitations must be noted. First, technology for CMC has been advancing rapidly, as has usage in society. Much of the work is recent. Changes can well be expected, both to technology and to human adaptation. In addition, all the studies were run in technologically advanced societies. There is thus a bias toward Western, educated, industrial, rich, and democratic societies, although some of the findings emerged from East Asian societies.
We also combined results measuring different outcomes and even using different measures for the same outcome. This seems an inevitable result of such a project, which must take the literature as it is. But further work with replications and methodological refinements would improve confidence in the conclusions.
Our review covered studies using different forms of CMC, which is perhaps both a strength and a weakness. At some future point it may be possible to do a more narrowly focused set of comparisons among the different forms of CMC. We proposed that some forms caused more disengagement than others, and the evidence was broadly consistent, but much more research is needed before definitive comparisons can be made, especially meta-analytically.
Concluding Remarks
We consider the communicative benefits of modern technology to be indisputable. Nevertheless, replacing in-person human interaction with solitary socializing may have costs, some of which are readily apparent in the literature we have covered. Problems arising from that replacement may be mediated by a loss of impact and engagement. We have reviewed diverse findings showing multiple sides and aspects of this loss.
CMC technology is here to stay. The challenge for future mental health and well-being may be to find ways for people to continue benefiting from digital technology while also perhaps rediscovering the value of being in the same place with interaction partners. The nearly miraculous advances in being able to communicate with people far away must be tempered with a renewed recognition that there is still no fully satisfactory substitute for actually being there.
Footnotes
Acknowledgements
We thank Joe Walther and Hannes Zacher for providing feedback on the manuscript.
Transparency
Action Editor: Katarzyna Adamczyk
Editor: Arturo E. Hernandez
Author Contributions
R. F. Baumeister conceptualized and wrote the manuscript, including the first and last drafts; M. T. Bibby completed the literature search and edited the manuscript; D. M. Tice edited the manuscript and provided references; B. J. Bushman helped conceptualize the manuscript, performed the initial literature search, edited the manuscript, and compiled and checked the references. All of the authors approved the final manuscript for submission.
