Real-world Social Interactions Research Articles

Contribution of Virtual Reality to the Reproduction of Social Interaction Characteristics in Neuropsychology: A Systematic Review of the Literature

Abstract Sociocognitive difficulties are observed in many pathologies associated with brain lesions or atypical brain functioning. The development of virtual reality offers an opportunity to assess this dimension from an interactionist perspective and to increase the ecological validity of the material used. However, this approach can be operationalized and conceptualized in a variety of ways. To understand these aspects, we conducted a systematic review of articles found in the PubMed, PubMed Central, and ScienceDirect databases, following PRISMA-P guidelines. A corpus of 48 articles was identified and analyzed in terms of the experimental devices used, to gauge the extent to which they reproduced the characteristics of real-world social interactions, as well as the associated conceptions. Results suggested that interactionist research lies on a continuum between ecological validity (studies exploring interactions via general functions) and a high level of experimental control (exploration of interactions with respect to specific processes). They are discussed in terms of the operationalization and objectification of interactionism.

Social mobile sensing and problematic alcohol consumption: Insights from smartphone metadata

BackgroundAlcohol is often consumed in a social context. We aim to investigate whether social mobile sensing is associated with real-world social interactions and alcohol consumption. In addition, we investigate how social restriction policies implemented during the COVID-19 pandemic have influenced these associations. MethodsWe conducted a smartphone-based ecological momentary assessment (EMA) study for 7 days over a 213-day period from 8 August 2020 to 9 March 2021 in Germany, including both no-lockdown and lockdown stages. Participants used a smartphone application which passively collects data on social behavior (e.g., app usage, phone calls, SMS). Moreover, we assessed real-world social interactions and alcohol consumption via daily questionnaires. ResultsWe found that each one-hour increase in social media usage was associated with a 40.2% decrease in the average number of drinks consumed. Mediation analysis suggested that social media usage decreases alcohol intake through decreased real-world social interactions. Notably, we did not find that any significant influence of the lockdown stage on the association between social mobile sensing and alcohol intake. ConclusionsOur study suggests that people who use more social media drink less, likely due to reduced face-to-face social interactions. This highlights the potential of social mobile sensing as an objective measure of social activity and its implications for understanding alcohol consumption behavior.

Adolescents' Sexual Orientation and Behavioral and Neural Reactivity to Peer Acceptance and Rejection: The Moderating Role of Family Support.

Sexual-minority adolescents frequently endure peer rejection, yet scant research has investigated sexual-orientation differences in behavioral and neural reactions to peer rejection and acceptance. In a community sample of adolescents approximately 15 years old (47.2% female; same-sex attracted: n = 36, exclusively other-sex attracted: n = 310), we examined associations among sexual orientation and behavioral and neural reactivity to peer feedback and the moderating role of family support. Participants completed a social-interaction task while electroencephalogram data were recorded in which they voted to accept/reject peers and, in turn, received peer acceptance/rejection feedback. Compared with heterosexual adolescents, sexual-minority adolescents engaged in more behavioral efforts to ingratiate after peer rejection and demonstrated more blunted neural reactivity to peer acceptance at low, but not medium or high, levels of family support. By using a simulated real-world social-interaction task, these results demonstrate that sexual-minority adolescents display distinct behavioral and neural reactions to peer acceptance and rejection.

Childhood trauma and real-world social experiences in psychosis

BackgroundChildhood trauma is associated with a variety of negative outcomes in psychosis, but it is unclear clear if childhood trauma affects day-to-day social experiences. We aimed to examine the association between childhood trauma and functional and structural characteristics of real-world social relationships in psychosis. MethodsParticipants with psychotic disorders or affective disorders with psychosis completed ecological momentary assessments (EMAs) over ten days (N = 209). Childhood trauma was assessed retrospectively using the Childhood Trauma Questionnaire. Associations between childhood trauma and EMA-assessed social behavior and perceptions were examined using linear mixed models. Analyses were adjusted for sociodemographic characteristics and psychotic and depressive symptom severity. ResultsHigher levels of childhood trauma were associated with more perceived threat (B = −0.19, 95 % CI [−0.33, −0.04]) and negative self-perception (B = −0.18, 95 % CI [−0.34, −0.01]) during recent social interactions, as well as reduced social motivation (B = −0.29, 95 % CI [−0.47, −0.10]), higher desire for social avoidance (B = 0.34, 95 % CI [0.14, 0.55]), and lower sense of belongingness (B = −0.24, 95 % CI [−0.42, −0.06]). These negative social perceptions were mainly linked with emotional abuse and emotional neglect. In addition, paranoia was more strongly associated with negative social perceptions in individuals with high versus low levels of trauma. Childhood trauma was not associated with frequency (i.e., time spent alone) or type of social interactions. ConclusionChildhood trauma – particularly emotional abuse and neglect – is associated with negative social perceptions but not frequency of real-world social interactions. Our findings suggest that childhood trauma may affect day-to-day social experiences beyond its association with psychosis.

Social decision-making in highly psychopathic offenders – A systematic literature review

Despite their decisions to frequently manipulate or even callously harm others in real life, highly psychopathic individuals often exhibit judgments comparable to individuals low in psychopathy when examined experimentally. This conundrum has generated a rich body of studies exploring social decision-making in psychopathy, but no systematic review to date has identified decision-making as measured in real-world or simulated social interactions in criminal offender samples assessed for psychopathic traits. Out of 807 studies provided by database searching in August 2022, 16 studies were included in this review and revealed behavioral economic games and paradigms for the assessment of aggressive behavior as the two main approaches to dissect social decision-making in offender samples regarding psychopathy. The specific paradigms exposed the multidimensional structure of both, the psychopathy construct and social decision-making. On one side, the distinct affordances of the social tasks, such as trust, power, or reactions to unfairness and provocation shed light on the inconsistent relations of decisions in experimental situations and psychopathy. On the other side, studies analyzing decision outcomes with respect to the distinct psychopathy subcomponents revealed nuanced interference effects with the social decision tasks. The review encourages a differentiated perspective to the psychopathy construct and social decision-making processes alike. • Decision-making of highly psychopathic offenders in social interactions are reviewed. • Economic games and paradigms of provocation are used to assess antisocial/aggressive decisions. • Decisions of highly psychopathic offenders depend on specific social affordances. • Social decisions vary as a function of psychopathic traits and specific experimental tasks. • Misrepresentation of psychopathy by general offender samples confuses social behavior evidence.

Gaze Fixation and Visual Searching Behaviors during an Immersive Virtual Reality Social Skills Training Experience for Children and Youth with Autism Spectrum Disorder: A Pilot Study.

Children and youth with Autism Spectrum Disorder (ASD) display difficulties recognizing and interacting with behavioral expressions of emotion, a deficit that makes social interaction problematic. Social skills training is foundational to the treatment of ASD, yet this intervention is costly, time-consuming, lacks objectivity, and is difficult to deliver in real-world settings. This pilot project investigated the use of an immersive virtual reality (IVR) headset to simulate real-world social interactions for children/youth with ASD. The primary objective was to describe gaze fixation and visual search behaviors during the simulated activity. Ten participants were enrolled and completed one social-skills training session in the IVR. The results demonstrate differential patterns between participants with mild, moderate, and severe ASD in the location and duration of gaze fixation as well as the patterns of visual searching. Although the results are preliminary, these differences may shed light on phenotypes within the continuum of ASD. Additionally, there may be value in quantifying gaze and visual search behaviors as an objective metric of interventional effectiveness for social-skills training therapy.

Logical differencing in dyadic network formation models with nontransferable utilities

This paper considers a semiparametric model of dyadic network formation under nontransferable utilities (NTU). Such dyadic links arise frequently in real-world social interactions that require bilateral consent but by their nature induce additive non-separability. In our model we show how unobserved individual heterogeneity in the network formation model can be canceled out without requiring additive separability. The approach uses a new method we call logical differencing. The key idea is to construct an observable event involving the intersection of two mutually exclusive restrictions—derived based on weak multivariate monotonicity—on the fixed effects. Based on this identification strategy we provide consistent estimators of the network formation model under NTU. Finite-sample performance of our method is analyzed in a simulation study, and an empirical illustration using the risk-sharing network data from Nyakatoke demonstrates that our proposed method is able to obtain economically intuitive estimates.

Face learning via brief real-world social interactions induces changes in face-selective brain areas and hippocampus.

Making new acquaintances requires learning to recognise previously unfamiliar faces. In the current study, we investigated this process by staging real-world social interactions between actors and the participants. Participants completed a face-matching behavioural task in which they matched photographs of the actors (whom they had yet to meet), or faces similar to the actors (henceforth called foils). Participants were then scanned using functional magnetic resonance imaging (fMRI) while viewing photographs of actors and foils. Immediately after exiting the scanner, participants met the actors for the first time and interacted with them for 10 min. On subsequent days, participants completed a second behavioural experiment and then a second fMRI scan. Prior to each session, actors again interacted with the participants for 10 min. Behavioural results showed that social interactions improved performance accuracy when matching actor photographs, but not foil photographs. The fMRI analysis revealed a difference in the neural response to actor photographs and foil photographs across all regions of interest (ROIs) only after social interactions had occurred. Our results demonstrate that short social interactions were sufficient to learn and discriminate previously unfamiliar individuals. Moreover, these learning effects were present in brain areas involved in face processing and memory.

Assessing and Optimizing Socio-Moral Reasoning Skills: Findings From the MorALERT Serious Video Game

BackgroundSocial cognition and competence are a key part of daily interactions and essential for satisfying relationships and well-being. Pediatric neurological and psychological conditions can affect social cognition and require assessment and remediation of social skills. To adequately approximate the complex and dynamic nature of real-world social interactions, innovative tools are needed. The aim of this study was to document the performance of adolescents on two versions of a serious video game presenting realistic, everyday, socio-moral conflicts, and to explore whether their performance is associated with empathy or sense of presence, factors known to influence social cognition.MethodsParticipants (12–17 years, M = 14.39; SD = 1.35) first completed a pre-test measure of socio-moral reasoning based on three dilemmas from a previously validated computer task. Then, they either played an evaluative version (n = 24) or an adaptive (n = 33) version of a video game presenting nine social situations in which they made socio-moral decisions and provided justifications. In the evaluative version, participants’ audio justifications were recorded verbatim and coded manually to obtain a socio-moral reasoning maturity score. In the adaptive version (AV), tailored feedback and social reinforcements were provided based on participant responses. An automatic coding algorithm developed using artificial intelligence was used to determine socio-moral maturity level in real-time and to provide a basis for the feedback and reinforcements in the game. All participants then completed a three-dilemma post-test assessment.ResultsThose who played the adaptive version showed improved SMR across the pre-test, in-game and post-test moral maturity scores, F(1.97,63.00) = 9.81, pHF < 0.001, ϵ2 = 0.21, but those who played the Evaluative version did not. Socio-moral reasoning scores from both versions combined did not correlate with empathy or sense of presence during the game, though results neared significance. The study findings support preliminary validation of the game as a promising method for assessing and remediating social skills during adolescence.

Forensic and Expert Social Anthropology

Abstract Social anthropologists have acted as expert witnesses in legal proceedings for many decades, however there has persisted a tension between social anthropologists’ readiness to accept the assignation of ‘expertise’, and the typical manner in which courts and legally empowered bodies characterise such expertise as the forensic specialization of an established scientific field. This paper presents a model for the distinction between forensic social anthropology and expert social anthropology, both of which play important probative roles in a range of legal processes. The key variable in this proposed distinction is the relative degree of independent causal modelling permitted to social anthropologists engaged by courts and other legally empowered bodies. In forensic applications, social anthropologists are called upon to independently detect and explain causal processes that link culturally specific ideas to real-world instances human social interaction. By contrast, in expert applications, social anthropologists are called upon to advise on whether causal models defined by the terms of a given legal process have been substantiated. This distinction brings forensic and expert social anthropology into line with similar distinctions made between forensic and expert applications of physical anthropology in legal proceedings, and offers a useful contribution to the reconciliation of social and physical anthropology as two fields of a single parent discipline.

An inclusive, real-world investigation of persuasion in language and verbal behavior.

Linguistic features of a message necessarily shape its persuasive appeal. However, studies have largely examined the effect of linguistic features on persuasion in isolation and do not incorporate properties of language that are often involved in real-world persuasion. As such, little is known about the key verbal dimensions of persuasion or the relative impact of linguistic features on a message’s persuasive appeal in real-world social interactions. We collected large-scale data of online social interactions from a social media website in which users engage in debates in an attempt to change each other’s views on any topic. Messages that successfully changed a user’s views are explicitly marked by the user themselves. We simultaneously examined linguistic features that have been previously linked with message persuasiveness between persuasive and non-persuasive messages. Linguistic features that drive persuasion fell along three central dimensions: structural complexity, negative emotionality, and positive emotionality. Word count, lexical diversity, reading difficulty, analytical language, and self-references emerged as most essential to a message’s persuasive appeal: messages that were longer, more analytic, less anecdotal, more difficult to read, and less lexically varied had significantly greater odds of being persuasive. These results provide a more parsimonious understanding of the social psychological pathways to persuasion as it operates in the real world through verbal behavior. Our results inform theories that address the role of language in persuasion, and provide insight into effective persuasion in digital environments.

Daily perceived stress predicts less next day social interaction: Evidence from a naturalistic mobile sensing study.

Although mammals have a strong motivation to engage in social interaction, stress can significantly interfere with this desire. Indeed, research in nonhuman animals has shown that stress reduces social interaction, a phenomenon referred to as "stress-induced social avoidance." While stress and social disconnection are also intertwined in humans, to date, evidence that stress predicts reductions in social interaction is mixed, in part, because existing paradigms fail to capture social interaction naturalistically. To help overcome this barrier, we combined experience sampling and passive mobile sensing methods with time-lagged analyses (i.e., vector autoregressive modeling) to investigate the temporal impact of stress on real-world indices of social interaction. We found that, across a 2-month period, greater perceived stress on a given day predicted significantly decreased social interaction-measured by the amount of face to face conversation-the following day. Critically, the reverse pattern was not observed (i.e., social interaction did not temporally predict stress), and the effect of stress on social interaction was present while accounting for other related variables such as sleep, movement, and time spent at home. These findings are consistent with animal research on stress-induced social avoidance and lay the groundwork for creating naturalistic, mobile-sensing based human models to further elucidate the cycle between stress and real-world social interaction. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Why didn't you tag me?!: Social exclusion from Instagram posts hurts, especially those with a high need to belong

Humans are highly sensitive to ostracism experiences and thus, even very short occurrences of being excluded and ignored can threaten fundamental needs and lower mood. We investigated whether not being tagged causes similar negative responses as being excluded in real life. Using a multi-method approach, we show across five studies (total N = 1149) that not being tagged in a posted photo strongly threatens fundamental needs. This effect is moderated by individuals’ need to belong, such that individuals with a higher need to belong experience not being tagged as more aversive. Results replicate across vignette studies in which participants imagine not being tagged on Instagram (Studies 2 and 3) and across studies using an alleged group task paradigm that mimicked the psychological mechanism of not being tagged outside of Instagram (Studies 4a and 4b). All experimental studies were pre-registered and we freely share all materials, code and data. Extending ostracism effects to the social media phenomenon tagging, the present research bridges real-world and digital social interactions. The results add to theoretical knowledge on social media, ostracism, and digital well-being and have practical implications for social media app design, social media interventions and our everyday interactions that increasingly happen online.

Estimating the effects of trait knowledge on social perception.

Research in social cognition has predominantly investigated perceptual and inferential processes separately; however, real-world social interactions usually involve integration between person inferences (e.g., generous, selfish) and the perception of physical appearance (e.g., thin, tall). Therefore, in the current work, we investigated the integration of different person-relevant signals, by estimating the extent to which bias in one social information processing system influences another. Following an initial stimulus-validation experiment (Experiment 1, N = 55), two further pre-registered experiments (Experiments 2, N = 55 and 3; N = 123) employed a priming paradigm to measure the effects of extraversion-diagnostic information on subsequent health and body-size judgements of a target body. The results were consistent across both priming experiments and supported our predictions: compared to trait-neutral control statements, extraversion-diagnostic statements increased judgements of health and decreased those of body size. As such, we show that trait-based knowledge does not only influence mappings towards similar types of person judgements, such as health judgements. Rather, even a brief re-configuration of trait-space alters mappings towards non-trait judgements, which are based on body size and shape. The results complement prior neuroimaging findings that showed functional interactions between the body-selective brain regions in the ventral visual stream and the theory of mind network when forming impressions of others. Therefore, we provide a functional signature of how distinct information processing units exchange signals and integrate information to form impressions. Overall, the current study underscores the value of behavioural work in complementing neuroscience research when investigating the role and properties of functional integration during impression formation. In addition, it stresses the potential limitations of an over-reliance on studying separate systems in isolation.

Characterizing the Interpersonal Neural Dynamics of Real-World Social Interactions: Evidence From Classrooms and Museums

Characterizing the Interpersonal Neural Dynamics of Real-World Social Interactions: Evidence From Classrooms and Museums

Peer preferences and characteristics of same-group and cross-group social interactions among autistic and non-autistic adolescents.

Social interaction is inherently bidirectional, but research on autistic peer interactions often frames communication as unidirectional and in isolation from the peer context. This study investigated natural peer interactions among six autistic and six non-autistic adolescents in an inclusive school club over 5 months (14 45-min sessions in total) to examine the students’ peer preferences in real-world social interactions and how the preferences changed over time. We further examined whether social behavior characteristics differ between student and peer neurotype combinations. Findings showed that autistic students were more likely to interact with autistic peers then non-autistic peers. In both autistic and non-autistic students, the likelihood of interacting with a same-neurotype peer increased over time. Autistic and non-autistic students’ within-neurotype social interactions were more likely to reflect relational than functional purposes, be characterized as sharing thoughts and experiences rather than requesting help or objects, and be highly reciprocal, as compared with cross-neurotype interactions. These peer preferences and patterns of social interactions were not found among student-peer dyads with the same genders. These findings suggest that peer interaction is determined by more than just a student’s autism diagnosis, but by a combination of student and peer neurotypes.Lay abstractAutistic students often experience challenges in peer interactions, especially for young adolescents who are navigating the increased social expectations in secondary education. Previous research on the peer interactions of autistic adolescents mainly compared the social behaviors of autistic and non-autistic students and overlooked the peers in the social context. However, recent research has shown that the social challenges faced by autistic may not be solely contributed by their social differences, but a mismatch in the social communication styles between autistic and non-autistic people. As such, this study aimed to investigate the student-and-peer match in real-world peer interactions between six autistic and six non-autistic adolescents in an inclusive school club. We examined the odds of autistic and non-autistic students interacting with either an autistic peer, a non-autistic peer, or multiple peers, and the results showed that autistic students were more likely to interact with autistic peers then non-autistic peers. This preference for same-group peer interactions strengthened over the 5-month school club in both autistic and non-autistic students. We further found that same-group peer interactions, in both autistic and non-autistic students, were more likely to convey a social interest rather than a functional purpose or need, be sharing thoughts, experiences, or items rather than requesting help or objects, and be highly reciprocal than cross-group social behaviors. Collectively, our findings support that peer interaction outcomes may be determined by the match between the group memberships of the student and their peers, either autistic or non-autistic, rather than the student’s autism diagnosis.

Quality versus quantity: Determining real-world social functioning deficits in schizophrenia

Social dysfunction is a hallmark of schizophrenia that is associated with emotional disturbances. Researchers have employed ecological momentary assessment (EMA) to measure social and emotional functioning in people with schizophrenia. Yet, few studies have evaluated quality of real-world social interactions, and it is unclear how interactions impact emotional experiences in this population. Using novel EMA that passively collects audio data, we examined daily social behavior and emotion in schizophrenia (n = 38) and control (n = 36) groups. Contrary to hypotheses, both groups interacted with others at the same rate and exhibited similar levels of positive emotion. However, as expected, the schizophrenia group exhibited significantly less high-quality interactions and reported more negative emotion than controls. Social versus non-social context did not influence experienced emotion in either group. This is the first real-world study to passively assess quality of social interactions in schizophrenia. Although those with schizophrenia did not differ in their number of interactions, they were less likely to engage in substantive, personal conversations. Because high-quality interactions are linked with better social outcomes, this finding has important potential treatment implications. Future research should investigate quality of interactions across different types of social activities to gain a more nuanced understanding of social dysfunction in schizophrenia.

Social Cognition, Social Skill, and Social Motivation Minimally Predict Social Interaction Outcomes for Autistic and Non-Autistic Adults.

Social cognition, social skill, and social motivation have been extensively researched and characterized as atypical in autistic people, with the assumption that each mechanistically contributes to the broader social interaction difficulties that diagnostically define the condition. Despite this assumption, research has not directly assessed whether or how these three social domains contribute to actual real-world social interaction outcomes for autistic people. The current study administered standardized measures of social cognition, social skill, and social motivation to 67 autistic and 58 non-autistic (NA) adults and assessed whether performance on these measures, both individually and relationally between dyadic partners, predicted outcomes for autistic and NA adults interacting with unfamiliar autistic and NA partners in a 5 minute unstructured “get to know you” conversation. Consistent with previous research, autistic adults scored lower than NA adults on the three social domains and were evaluated less favorably by their conversation partners. However, links between autistic adults' performance on the three social domains and their social interaction outcomes were minimal and, contrary to prediction, only the social abilities of NA adults predicted some interaction outcomes within mixed diagnostic dyads. Collectively, results suggest that reduced performance by autistic adults on standardized measures of social cognition, social skill, and social motivation do not correspond in clear and predictable ways with their real-world social interaction outcomes. They also highlight the need for the development and validation of more ecological assessments of autistic social abilities and the consideration of relational dynamics, not just individual characteristics, when assessing social disability in autism.

Psychological Wellbeing During the Global COVID-19 Outbreak

Around the globe, people are living under the threat of the COVID-19 pandemic, and many are experiencing curtailed opportunities for sustainable livelihoods and real-world social interactions. These conditions present a significant challenge to wellbeing1,2 and it is therefore essential to examine the factors associated with psychological wellbeing during this pandemic and other collective crises3. Here, we used survey data collected from 26,684 participants in 51 countries from 17 April to 15 May 2020 to examine the individual and societal factors that predict the degree of individuals’ suffering or thriving during the COVID-19 outbreak. We show that wellbeing is linked to an individual’s recent experiences of specific momentary positive and negative emotions, including calm, loneliness, love, and determination, as well as socioeconomic status. Around the world, calm, connection, and control were found to be central to wellbeing during the COVID-19 outbreak. The results are consistent with findings from two representative samples using pre-registered analyses, and a prospective 30-day daily diary study. Our findings highlight differential relationships between socio-affective processes and wellbeing during collective crises, and point to the importance of momentary experiences of calm, love and determination, particularly for those in less privileged positions in society.Funding Statement: This research was supported by ERC Starting grant 714977 awarded to D.A.S.Declaration of Interests: The authors have no competing interests to declare.Ethics Approval Statement: The study received approval from the University of Amsterdam Department of Psychology Ethics Committee and all participants provided digital informed consent.

A Social–Aware Recommender System Based on User’s Personal Smart Devices

Providing recommendations in cold start situations is one of the most challenging problems for collaborative filtering based recommender systems (RSs). Although user social context information has largely contributed to the cold start problem, most of the RSs still suffer from the lack of initial social links for newcomers. For this study, we are going to address this issue using a proposed user similarity detection engine (USDE). Utilizing users’ personal smart devices enables the proposed USDE to automatically extract real-world social interactions between users. Moreover, the proposed USDE uses user clustering algorithm that includes contextual information for identifying similar users based on their profiles. The dynamically updated contextual information for the user profiles helps with user similarity clustering and provides more personalized recommendations. The proposed RS is evaluated using movie recommendations as a case study. The results show that the proposed RS can improve the accuracy and personalization level of recommendations as compared to two other widely applied collaborative filtering RSs. In addition, the performance of the USDE is evaluated in different scenarios. The conducted experimental results on USDE show that the proposed USDE outperforms widely applied similarity measures in cold start and data sparsity situations.