研究中国研究生对AI心理聊天机器人的信任与使用障碍
Perceptions of AI-CBT: Trust and Barriers in Chinese Postgrads
- 通过深度访谈探索研究生对AI心理咨询工具的感知
- 90%受访者认为24小时可用性有用，但隐私担忧阻碍使用
- 适合关注心理健康科技本土化设计的研究者和教育机构
研究生心理健康问题日益突出，但可扩展的心理支持应用仍不均衡。人工智能驱动的认知行为疗法聊天机器人（AI-CBT）提供低门槛帮助，但中国研究生对其认知与使用情况尚不清楚。本研究通过社交媒体招募10名中国研究生，开展半结构化视频访谈，并运用反思性主题分析法，以健康信念模型（HBM）和计划行为理论（TPB）为敏感化框架进行分析。结果表明，受访者对AI-CBT持谨慎开放态度：普遍认可其有用性和24/7可访问性，但数据隐私、情感安全以及对复杂问题适用性的不确定性限制了使用意愿。社会规范（如污名化和同侪看法）及感知控制能力（数字素养、语言质量）进一步影响采纳。研究为在中国高校学生群体中设计、传播和部署文化适配的AI心理支持工具提供了实证依据，强调透明度、安全机制与分层干预路径的设计重要性。
原文摘要 · Abstract (English)
The mental well-being of graduate students is an increasing concern, yet the adoption of scalable support remains uneven. Artificial intelligence-powered cognitive behavioral therapy chatbots (AI-CBT) offer low barrier help, but little is known about how Chinese postgraduates perceive and use them. This qualitative study explored perceptions and experiences of AI-CBT chatbots among ten Chinese graduate students recruited through social media. Semi-structured Zoom interviews were conducted and analyzed using reflexive thematic analysis, with the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) as sensitizing frameworks. The findings indicate a cautious openness to AI-CBT chatbots: perceived usefulness and 24/7 access supported favorable attitudes, while data privacy, emotional safety, and uncertainty about `fit' for complex problems restricted the intention to use. Social norms (e.g., stigma and peer views) and perceived control (digital literacy, language quality) further shaped adoption. The study offers context-specific information to guide the culturally sensitive design, communication, and deployment of AI mental well-being tools for student populations in China and outlines the design implications around transparency, safeguards, and graduated care pathways.
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