LLM在社区心理支持中如何影响信任与关系，研究提出协同设计的应对策略。
Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users' Perspectives on Opportunities, Risks, and Mitigation Strategies
- 通过共设计工作坊探索LLM在支持服务中的引入方式
- 发现LLM可能增强、削弱或重塑同伴支持的互动权威
- 适合关注社区心理护理与AI伦理的从业者和设计师
同伴主导组织（PROs）提供基于亲身经历的恢复性心理健康支持。随着大语言模型（LLMs）进入该领域，其规模、对话性与不透明性给情境适配、信任与自主性带来新挑战。我们与美国东北部新泽西州的全州性同伴主导组织——协作支持项目（CSPNJ）合作，采用漫画板（comicboarding）这一共设计方法，组织了16名同伴专家和10名服务使用者的工作坊，探讨将基于LLM的推荐系统融入同伴支持的感知。研究发现，根据LLM的引入方式、约束程度及共同使用模式，其可重构支持空间内的互动动态，或维持、削弱、或放大支撑同伴支持的关系权威。我们识别出三组张力下的机遇、风险与缓解策略：规模与本地性的平衡、信任与关系动态的保护、效率提升中同伴自主性的保留。研究贡献包括：以亲身经验为闭环的设计启示，将信任重新定义为共构，以及将LLM定位为高风险、社区主导照护中的关系协作者而非临床工具。
原文摘要 · Abstract (English)
Peer-run organizations (PROs) provide critical, recovery-based behavioral health support rooted in lived experience. As large language models (LLMs) enter this domain, their scale, conversationality, and opacity introduce new challenges for situatedness, trust, and autonomy. Partnering with Collaborative Support Programs of New Jersey (CSPNJ), a statewide PRO in the Northeastern United States, we used comicboarding, a co-design method, to conduct workshops with 16 peer specialists and 10 service users exploring perceptions of integrating an LLM-based recommendation system into peer support. Findings show that depending on how LLMs are introduced, constrained, and co-used, they can reconfigure in-room dynamics by sustaining, undermining, or amplifying the relational authority that grounds peer support. We identify opportunities, risks, and mitigation strategies across three tensions: bridging scale and locality, protecting trust and relational dynamics, and preserving peer autonomy amid efficiency gains. We contribute design implications that center lived-experience-in-the-loop, reframe trust as co-constructed, and position LLMs not as clinical tools but as relational collaborators in high-stakes, community-led care.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。