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.
Authors
- Gayoung Son (ORCID: https://orcid.org/0000-0001-9795-1483)
- Marius Rubo (ORCID: https://orcid.org/0000-0002-5517-2948)
Institutions
- University of Bern (CH)
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
- Field-Weighted Citation Impact
- 0.00