Automated Inference of Social Anxiety From Behavior in Social Virtual Reality: Cross-Sectional Observational Study

In dyadic interactions in social VR, social anxiety was associated with behavioral and physiological modulations similar to those observed in face-to-face interactions, indicating heightened social stress and submissiveness even in avatar-mediated communication. Patterns were similar for heightened psychopathology and reversed for verticality, indicating that these traits may lie on a shared social-behavioral spectrum. Extending previous research focused on face-to-face interactions or reactions toward artificial agents displayed in VR, this study is the first to provide a comprehensive account of the behavioral and physiological modulations associated with social anxiety in avatar-based human-human interactions. Since social VR setups allow researchers to assess a rich set of behavioral data as a byproduct of the setup's core functionality, the technique opens novel possibilities to detect social stress, track therapeutic progress, or tailor interventions to individual behavior when interactions take place in VR.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2026-03-11
DOI
https://doi.org/10.2196/79147
Primary Topic
Virtual Reality Applications and Impacts
Type
article
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article

Automated Inference of Social Anxiety From Behavior in Social Virtual Reality: Cross-Sectional Observational Study

Gayoung Son, Marius Rubo
Journal of Medical Internet Research
Virtual Reality Applications and Impacts
article

Automated Inference of Social Anxiety From Behavior in Social Virtual Reality: Cross-Sectional Observational Study

Gayoung Son, Marius Rubo
article en

Abstract

In dyadic interactions in social VR, social anxiety was associated with behavioral and physiological modulations similar to those observed in face-to-face interactions, indicating heightened social stress and submissiveness even in avatar-mediated communication. Patterns were similar for heightened psychopathology and reversed for verticality, indicating that these traits may lie on a shared social-behavioral spectrum. Extending previous research focused on face-to-face interactions or reactions toward artificial agents displayed in VR, this study is the first to provide a comprehensive account of the behavioral and physiological modulations associated with social anxiety in avatar-based human-human interactions. Since social VR setups allow researchers to assess a rich set of behavioral data as a byproduct of the setup's core functionality, the technique opens novel possibilities to detect social stress, track therapeutic progress, or tailor interventions to individual behavior when interactions take place in VR.

Journal of Medical Internet ResearchVol. 28
University of Bern (CH)
Reduced inequalities
Openalex Percentile: Top 29%
Virtual Reality Applications and Impacts
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