检查大型语言模型对缓解中国学生抑郁和焦虑的有效性:一项随机对照试验
Xindong Ye1, Xiaofen Shan, Yunfang Tu
1Author Affiliations: College of Teacher Education (Dr Ye), Wenzhou University, Wenzhou, People's Republic of China; University Laboratory of Humanities, Zhejiang; Laboratory of Ecological Civilization and Environmental Management; College of Teacher Education (Mr Shan, Dr Tu and Mr Zhang), Wenzhou University, Wenzhou, People's Republic of China.
Computers, informatics, nursing : CIN
|July 24, 2025
概括
一个新的AI聊天机器人WarmGPT通过减少抑郁和焦虑,有效地改善了青少年的心理健康. 这种大型的语言模型干预提供了一个有希望的解决方案,为学生提供可访问的支持.
科学领域:
- 心理学 心理学 心理学
- 人工智能的人工智能
- 青少年健康 青少年健康
背景情况:
- 青春期涉及显著的心理变化,增加心理健康的脆弱性.
- 现有的心理健康服务很难满足中学生的需求.
- 需要为青少年提供创新的,可访问的心理健康支持.
研究的目的:
- 为了评估WarmGPT的有效性,一个人工智能驱动的对话代理,在支持中学生的心理健康.
- 评估大型语言模型与认知行为疗法的整合对青少年情绪状态的影响.
主要方法:
- 一个随机对照试验,涉及40名中学生在中国.
- 实验组通过WarmGPT接受了为期2周的咨询.
- 对照组参与了心理健康教育视频.
- 在干预前后的评估中,测量了抑郁,焦虑和情绪影响.
主要成果:
- 温暖GPT显著减少了学生的抑郁,焦虑和负面情绪.
- 人工智能干预导致了积极情绪的显著增加.
- 与对照组的教育视频相比,WarmGPT显示出更好的结果.
结论:
- 基于大型语言模型的对话代理,如WarmGPT,对于缓解青少年的负面情绪是有效的.
- 作为一个可扩展和可访问的工具,WarmGPT显示出增强中学学生心理健康的希望.
- 人工智能驱动的干预措施可以补充对年轻人的传统心理健康服务.
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