社交焦虑个体在不同社交情境下基于可穿戴传感器的多模态生理反应
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts
AI总结：
本研究利用被试内实验的被动传感器数据，分析了社交焦虑个体在不同社交情境、阶段、规模及威胁水平下的多模态生理反应，发现社交情境最易被可靠区分，为即时自适应干预的情境检测提供了依据。
摘要：
从被动佩戴的传感器中正确识别个体的社交情境，有望为治疗社交焦虑障碍提供即时自适应干预（JITAIs）。在本研究中，我们利用一项被试内实验被动收集的数据展示结果，该实验评估了不同社交情境（即独处与与他人在一起）、社交阶段（即互动前和互动后与互动中）、社交互动规模（即双人互动与群体互动）以及社交威胁水平（即隐性与显性社交评价）下的生理反应。本研究的参与者（N=46）报告了中至重度的社交焦虑症状，该症状由社交互动焦虑量表评估（80分中≥34分）。研究采用单变量配对差异检验、多元随机森林模型及后续聚类分析，以探索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，社交情境更容易被可靠区分，但即便在这些可区分的情境中，生理反应模式也存在相当大的变异性。本文还讨论了研究结果对现实世界情境检测和部署JITAIs的启示。
英文摘要：
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.
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