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学生心理健康聊天机器人的机遇、要求与风险:一种以用户为中心的定性多方法研究路径

Opportunities, Requirements, and Risks of a Student Mental Health Chatbot: A Qualitative User-Centered, Multi-Method Approach.

作者信息

Reichenpfader Daniel, Affolter Lorenz, Gabarron Elia, Denecke Kerstin

机构信息

Institute for Patient-Centered Digital Health, Bern University of Applied Sciences, Bern, Switzerland.

Institute of New Work, Bern University of Applied Sciences, Bern, Switzerland.

出版信息

Stud Health Technol Inform. 2025 May 2;325:67-72. doi: 10.3233/SHTI250221.

Abstract

Mental health challenges among university students are increasing, but stigma and limited access to professional support hinder help seeking. This study explored opportunities, requirements, and risks associated with developing a chatbot-based mental health application tailored to Swiss university students. Data were collected through semi-structured interviews with student counselors, administrators, and representatives, as well as a requirements engineering workshop involving key stakeholders. The results showed that a chatbot could reduce stigma, improve accessibility and support vulnerable groups, provided it included easy access, evidence-based content and emergency responses. However, concerns regarding data security, harmful advice, and over-reliance on the chatbot must be acknowledged. These findings highlight the need for ethical safeguards, robust design, and a complementary role for the chatbot within existing support systems to address student mental health effectively.

摘要

大学生面临的心理健康挑战日益增加,但耻辱感和获得专业支持的机会有限阻碍了他们寻求帮助。本研究探讨了开发一款针对瑞士大学生的基于聊天机器人的心理健康应用程序所涉及的机遇、要求和风险。通过与学生顾问、管理人员和代表进行半结构化访谈,以及举办一次有主要利益相关者参与的需求工程研讨会来收集数据。结果表明,只要聊天机器人具备便捷访问、基于证据的内容和应急响应功能,就可以减少耻辱感、提高可及性并支持弱势群体。然而,必须认识到对数据安全、有害建议以及过度依赖聊天机器人的担忧。这些发现凸显了在现有支持系统中需要道德保障、稳健设计以及聊天机器人发挥补充作用,以有效解决学生心理健康问题。

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