SCH: INT: Context-Aware Micro-Interventions for Social Anxiety

对感知到的社会威胁的反应是一种规范性反应， 建立自己在社会等级制度中的地位，但当感知到的威胁被 夸张了例如，社交焦虑症（SAD）是最普遍的精神障碍之一， 影响12.1%的美国人口在他们一生中的某个时候，导致严重的损害和 生活质量差。然而，患有SAD的人通常会等待十多年才寻求治疗， 考虑到社交回避是社交焦虑的一个核心特征，他们确实寻求过护理。这使得寻求 面对面的服务非常困难，因此迫切需要可扩展的，可访问的治疗方法， 在治疗之外提供，并可以融入日常生活。即时适应性干预 通过智能手机提供的（JITAI）是一种有前途的方法，不仅可以增加成本， 有效和可接受的精神卫生保健，但也要量体裁衣的时刻干预，以最佳匹配 个人的具体情况和他们的个人压力，并确定当个人是最 可能会从干预中受益。这项工作利用移动的传感来检测时间的指标， 社交焦虑和个人背景的阶段，以优化治疗。该项目提出了背景- 社交焦虑的意识微干预（CAMSA）系统，旨在了解相关背景 社交焦虑和提供个性化的干预措施，以减少症状。这三个阶段的项目将 克服持续和可获得治疗的基本障碍。首先，CAMSA系统将 开发，包括传感器丰富的智能手机和智能手表，将收集相关数据 特征（例如，焦虑的类型、社会背景、生理状态）来识别个体的状态焦虑 背景，沿着以用户为中心的个性化社交焦虑微干预设计。二是 CAMSA系统将部署到社交焦虑的个人中，以识别状态焦虑的生物标志物， 不同的时间阶段和优化功能，以个性化干预的内容和时间 交付.第三，将通过试点研究证明CAMSA的概念验证， 参与者收到JITAI。 相关性（参见说明）： 社交焦虑障碍（SAD）是最常见的精神障碍之一，影响12.1%的美国人。 人在一生中的某个时候。SAD的特征是害怕和回避社会评价 这些情况往往对受影响的个人造成破坏性后果， 给整个社会带来经济负担。

Reactivity to perceived social threats is a normative response that has considerable adaptive value to establish one’s position in a social hierarchy, but also routinely goes awry when perceived threats are exaggerated. For example, social anxiety disorder (SAD) is one of the most prevalent mental disorders, affecting 12.1% of the U.S. population at some point in their lifetime, resulting in serious impairment and a poorer quality of life. Yet, individuals with SAD often wait more than a decade before seeking treatment, if they ever do seek care, given that social avoidance is a core feature of social anxiety. This makes seeking in-person services very difficult, so there is a crucial need for scalable, accessible treatments that are delivered outside of therapy and can be integrated into daily life. Just-in-Time Adaptive Interventions (JITAIs) delivered via smartphones represent a promising method to not only increase access to cost- effective and acceptable mental health care, but also to tailor in-the-moment interventions to best match the specific context of the individual and their personal stressors and determine when the individual is most likely to benefit from the intervention. This work leverages mobile sensing to detect indicators of temporal phases of social anxiety and personal context to optimize treatment. This project proposes the Context- Aware Micro-Interventions for Social Anxiety (CAMSA) system, targeted at understanding relevant contexts of social anxiety and delivering personalized interventions to reduce symptoms. This 3-phase project will overcome fundamental barriers to continuous and accessible treatment. First, the CAMSA system will be developed, consisting of sensor-rich smartphones and smartwatches that will collect data on relevant features (e.g., type of anxiety, social context, physiological state) that identify an individual's state anxiety context, along with user-centered design of personalized micro-interventions for social anxiety. Second, the CAMSA system will be deployed to socially anxious individuals to identify biomarkers of state anxiety at different temporal phases and optimize features to personalize the content and timing of the intervention delivery. Third, a proof-of-concept for CAMSA will be demonstrated through a pilot study, with anxious participants receiving JITAIs. RELEVANCE (See instructions): Social anxiety disorder (SAD) is one of the most prevalent mental disorders, affecting 12.1% of U.S. individuals at some point in their lifetime. SAD is characterized by fear and avoidance of socially evaluative situations, often leading to devastating consequences for the affected individual and placing considerable economic burden on society at large.