基于GPT-4o的聊天机器人的有效性,可行性和技术成果 阿曼达用于关系支持:随机对照试验
Laura M Vowels1,2, Matthew J Vowels2,3,4,5, Shannon K Sweeney2
1Institute of Psychology, University of Lausanne, Lausanne, Switzerland.
PLOS mental health
|February 9, 2026
概括
一个GPT-4聊天机器人,阿曼达,有效地提供了与写作任务相比的单次会话关系干预. 这两种方法都改善了人际关系的满意度和沟通,聊天机器人显示出可扩展的心理健康支持的希望.
科学领域:
- 数字健康数字健康
- 人工智能在心理健康中的作用
- 关系心理学 关系心理学
背景情况:
- 关系干预对于个人和双向幸福至关重要.
- 需要可扩展和可访问的数字解决方案来满足对心理健康支持日益增长的需求.
- 大型语言模型 (LLM) 为提供治疗干预提供了新的可能性.
研究的目的:
- 评估基于GPT-4的聊天机器人 (阿曼达) 在提供单次会话关系干预的有效性,可行性和技术成果.
- 将聊天机器人干预的有效性与以冲突重新评估为重点的写作任务进行比较.
- 评估参与者的参与度,可用性和与聊天机器人的治疗联盟.
主要方法:
- 一项随机对照试验,258名参与者将Amanda聊天机器人 (n=130) 与写作任务 (n=128) 进行比较.
- 干预的重点是对关系冲突的重新评估.
- 测量结果包括关系满意度,沟通模式,双向应对,个人幸福感,可行性,可用性和治疗联盟.
- 进行了聊天机器人交互成绩单的技术评估.
主要成果:
- 这两种情况在14个结果变量中的13个显著改善,在两周的随访中持续.
- 对于大多数结果,没有发现显著的群体差异,这表明效果可比.
- 聊天机器人条件显示,合作伙伴需求/自取消通信的显著减少.
- 聊天机器人在可行性,可用性,治疗技能和工作联盟方面获得了很高的评分.
- 技术评估证实了聊天机器人的同情心,询问和连贯性,尽管注意到一些局限性,如重复的响应和不一致的安全问题识别.
结论:
- 阿曼达,一个GPT-4聊天机器人,提供了一个可行的和有效的单次会话关系干预,与既定方法相比.
- 基于LLM的聊天机器人有可能提供可扩展和可访问的关系支持.
- 未来的研究应该探索多会话干预,临床种群,以及用于现实世界部署的增强安全功能.
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