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，具有相当大的适应价值 确立自己在社会等级中的地位，但当感知到的威胁出现时，也会经常出错 太夸张了。例如，社交焦虑症(SAD)是最普遍的精神障碍之一， 在一生中的某个时候影响12.1%的美国人口，导致严重的损伤和 生活质量更差。然而，患有SAD的人通常要等十多年才寻求治疗，如果 他们确实会寻求照顾，因为社交回避是社交焦虑的一个核心特征。这使得寻找 面对面服务非常困难，因此迫切需要可扩展、可访问的治疗方法 在治疗之外提供，并可融入日常生活。适时适应性干预 通过智能手机交付的(JITAI)代表着一种很有前途的方法，不仅可以增加获取成本的机会- 有效和可接受的精神卫生保健，但也要量身定做即时干预措施，以最好地匹配 个人及其个人压力源的特定背景，并确定个人何时最有压力 可能会从干预中受益。这项工作利用移动感知来检测时间指标 根据社交焦虑和个人环境的不同阶段来优化治疗。这个项目提出了背景- 社交焦虑认知微干预(CAMSA)系统，旨在了解相关背景 减少社交焦虑，并提供个性化干预以减轻症状。这个分三期进行的项目将 克服持续和可获得治疗的根本障碍。首先，CAMSA系统将是 开发，由传感器丰富的智能手机和智能手表组成，将收集相关数据 识别个人状态焦虑的特征(例如，焦虑类型、社交环境、生理状态 背景，以及以用户为中心的针对社交焦虑的个性化微观干预设计。第二， CAMSA系统将被部署到社交焦虑个体，以识别状态焦虑的生物标记物 不同的时间阶段并优化功能，以个性化干预的内容和时间 送货。第三，CAMSA的概念验证将通过一项试点研究进行演示， 接受JITAI的参与者。 相关性(请参阅说明)： 社交焦虑症(SAD)是最常见的精神障碍之一，影响着美国12.1%的人。 个体在他们一生中的某个时刻。悲伤的特点是害怕和避免社会评价 情况，往往会给受影响的个人带来毁灭性的后果，并使相当大的 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.