用生成式AI开发的手机应用可有效提升大学生心理韧性与幸福感。
AI for Proactive Mental Health: A Multi-Institutional, Longitudinal, Randomized Controlled Trial
- 通过生成式AI定制个性化心理健康干预方案。
- 六周内显著提升积极情绪、抗压能力及社会归属感。
- 适合关注预防性心理健康的高校师生和科技从业者。
当代年轻人面临前所未有的心理健康挑战，但因可及性、污名化和时间限制等障碍，许多人不愿寻求帮助。小剂量的福祉干预有望在心理问题恶化前加以预防，但尚缺乏个性化的交互式可扩展技术实现。本研究开展首个多机构、纵向、预先注册的随机对照试验，评估一款名为「Flourish」的生成式AI驱动移动端应用。2024年秋季，来自美国三所高校的486名本科生被随机分配至使用应用组或等待名单对照组。干预组参与者在六周内报告了显著更高的积极情绪、心理韧性及社会福祉（即归属感增强、社区联结度提高、孤独感降低），并有效缓冲了正念和幸福水平的下降。结果表明，在有目的且合乎伦理的设计下，生成式AI可实现大规模、主动式的福祉干预，并带来可测量的积极影响。
原文摘要 · Abstract (English)
Young adults today face unprecedented mental health challenges, yet many hesitate to seek support due to barriers such as accessibility, stigma, and time constraints. Bite-sized well-being interventions offer a promising solution to preventing mental distress before it escalates to clinical levels, but have not yet been delivered through personalized, interactive, and scalable technology. We conducted the first multi-institutional, longitudinal, preregistered randomized controlled trial of a generative AI-powered mobile app ("Flourish") designed to address this gap. Over six weeks in Fall 2024, 486 undergraduate students from three U.S. institutions were randomized to receive app access or waitlist control. Participants in the treatment condition reported significantly greater positive affect, resilience, and social well-being (i.e., increased belonging, closeness to community, and reduced loneliness) and were buffered against declines in mindfulness and flourishing. These findings suggest that, with purposeful and ethical design, generative AI can deliver proactive, population-level well-being interventions that produce measurable benefits.
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