像治疗师，但不是：Reddit中关于心理健康情境下AI的叙述
Like a Therapist, But Not: Reddit Narratives of AI in Mental Health Contexts
AI总结：
本研究通过分析Reddit上的心理健康相关AI使用叙述，探讨了用户对AI在心理健康领域中的评价与关系契合，揭示了任务契合度与情感联系在用户互动中的不同影响。
摘要：
大型语言模型（LLMs）越来越多地用于非临床环境中的情感支持和心理健康相关互动，但人们对这些系统在日常使用中如何被评价和互动仍知之甚少。我们分析了来自47个心理健康社区的5126个Reddit帖子，这些帖子描述了使用AI进行情感支持或治疗的体验性或探索性使用。基于技术接受模型和治疗联盟理论，我们开发了一个理论指导的标注框架，并应用混合LLM-人类流程来分析评价性语言、采用相关态度以及关系契合度。我们的结果显示，参与主要由叙述结果、信任和响应质量决定，而不是单一的情感联系。积极情绪最强烈地与任务和目标契合相关，而以陪伴为导向的使用更常涉及不一致的联盟和报告的风险，如依赖和症状加剧。总体而言，这项工作展示了如何在大规模话语分析中操作化理论指导的构念，并强调了研究用户如何在敏感的现实世界情境中解释语言技术的重要性。
英文摘要：
Large language models (LLMs) are increasingly used for emotional support and mental health-related interactions outside clinical settings, yet little is known about how people evaluate and relate to these systems in everyday use. We analyze 5,126 Reddit posts from 47 mental health communities describing experiential or exploratory use of AI for emotional support or therapy. Grounded in the Technology Acceptance Model and therapeutic alliance theory, we develop a theory-informed annotation framework and apply a hybrid LLM-human pipeline to analyze evaluative language, adoption-related attitudes, and relational alignment at scale. Our results show that engagement is shaped primarily by narrated outcomes, trust, and response quality, rather than emotional bond alone. Positive sentiment is most strongly associated with task and goal alignment, while companionship-oriented use more often involves misaligned alliances and reported risks such as dependence and symptom escalation. Overall, this work demonstrates how theory-grounded constructs can be operationalized in large-scale discourse analysis and highlights the importance of studying how users interpret language technologies in sensitive, real-world contexts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
