Correctly identifying an individual's social context from passively worn sensors holds promise for delivering just-in-time adaptive interventions (JITAIs) to treat social anxiety disorder. In this study, we present results using passively collected data from a within-subject experiment that assessed physiological response across different social contexts (i.e, alone vs. with others), social phases (i.e., pre- and post-interaction vs. during an interaction), social interaction sizes (i.e., dyadic vs. group interactions), and levels of social threat (i.e., implicit vs. explicit social evaluation). Participants in the study ($N=46$) reported moderate to severe social anxiety symptoms as assessed by the Social Interaction Anxiety Scale ($\geq$34 out of 80). Univariate paired difference tests, multivariate random forest models, and follow-up cluster analyses were used to explore physiological response patterns across different social and non-social contexts. Our results suggest that social context is more reliably distinguishable than social phase, group size, or level of social threat, but that there is considerable variability in physiological response patterns even among these distinguishable contexts. Implications for real-world context detection and deployment of JITAIs are discussed.

翻译：通过被动佩戴传感器准确识别个体的社交情境，有望为社交焦虑障碍提供即时自适应干预（JITAIs）。本研究采用被试内实验设计，利用被动采集的数据评估了不同社交情境（独处与共处）、社交阶段（互动前后与互动过程中）、社交互动规模（二人互动与群体互动）以及社交威胁水平（隐性社交评价与显性社交评价）下的生理反应。参与者（$N=46$）的社交互动焦虑量表得分（$\geq$34/80）显示其存在中度至重度的社交焦虑症状。我们采用单变量配对差异检验、多变量随机森林模型及后续聚类分析，探究不同社交与非社交情境下的生理反应模式。结果表明，相较于社交阶段、群体规模或社交威胁水平，社交情境的可区分性更为可靠，但即使在这些可区分的社交情境中，生理反应模式仍存在显著差异。本文讨论了这些发现对真实世界情境检测及JITAIs部署的启示。