未来的我,一个基于前景的聊天机器人,以促进青少年的心理健康:两个探索性用户体验研究
Martin Dechant1, Eva Lash2, Sarah Shokr1
1University College London, 1-19 Torrington Place, London, WC1E 7HB, United Kingdom, +44 (0) 20 7679 1897.
JMIR formative research
|July 18, 2025
概括
未来的我,一个人工智能聊天机器人,帮助用户以面向未来的思维和目标追求. 虽然它对一般规划有效,但对于高压力情况和个性化情绪支持,它需要改进.
科学领域:
- 数字心理健康数字心理健康
- 人工智能在心理学中的应用
- 计算精神病学是一种计算精神病学.
背景情况:
- 大型语言模型 (LLM) 通过聊天机器人提供个性化的心理健康支持.
- 预测,即对未来进行规划的能力,是关键的跨诊断过程.
- 用LLM驱动的聊天机器人可以设计为支持前等心理过程.
研究的目的:
- 评估用户与"未来的我"聊天机器人的互动.
- 评估聊天机器人的有效性,以支持面向未来的思维.
- 检查可接受性,并确定研究生应激管理的改进.
主要方法:
- 两项互补的研究涉及研究生 (n=20和n=14).
- 研究1:单个指导会议,采访.
- 研究2:为期1周的互动期与前/后访谈;对成绩单和访谈进行主题分析.
主要成果:
- 用户参与了未来我的职业生涯,教育和关系目标.
- 对目标清晰度,非判断性互动和24/7可访问性的高度重视.
- 有效地促进了自我反思,并为更广泛的关注提供了新的视角.
- 限制包括公式式的反应和在高压力情况下缺乏情感深度.
- 研究生希望在学术压力期间有更大的背景意识.
结论:
- "未来的我"在促进前性和面向未来的思维方面表现有前途.
- 有效性取决于环境,更适合于规划而不是急性压力.
- 未来的开发应该提高适应性,以用户的情绪状态.
- 聊天机器人最适合在更广泛的支持系统中作为补充工具.
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