评估心理治疗的质量 对话代理:框架开发和跨部门研究
Kunmi Sobowale1, Daniel Kevin Humphrey2
1Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, 760 Westwood Plaza, Suite 48-241, Los Angeles, CA, 90024, United States, 1 310-794-7035, 1 925-281-3270.
JMIR formative research
|July 2, 2025
概括
一个新的框架,CAPE (心理治疗评估的对话代理),评估AI心理治疗聊天机器人. 虽然聊天机器人在沟通和可访问性方面表现出色,但它们缺乏关键的安全和隐私功能.
科学领域:
- 人工智能的人工智能
- 心理健康技术 心理健康技术
- 数字治疗学数字治疗学
背景情况:
- 人工智能聊天机器人越来越多地被公众用于模拟心理治疗,这带来了潜在的风险.
- 评估这些人工智能驱动的心理健康工具质量的标准化方法是必不可少的.
研究的目的:
- 引入CAPE (心理治疗评估对话代理) 框架,以评估心理治疗聊天机器人的质量.
- 评估和比较使用CAPE框架在OpenAI GPT商店上可用的流行的AI心理治疗聊天机器人.
主要方法:
- 在OpenAI GPT商店上发现了四个流行的AI心理治疗聊天机器人.
- 两个独立的审查者应用了CAPE框架,包括8个部分,每个部分都有个别质量分数 (0-1),使用模拟的患者互动.
- 统计测试 (t测试,威尔科克森签名等级测试) 用于分析子分数的对差异.
主要成果:
- 聊天机器人在背景信息,对话能力,治疗联盟,边界和可访问性方面得分很高.
- 在治疗方向和监测/风险评估方面观察到较低的得分.
- 缺乏关于培训数据和知识库的透明度 (子分数=0).
- 在隐私和危害部分发现了显著的差异,聊天机器人无法充分解决这些问题.
结论:
- CAPE框架提供了一种可靠的方法来评估心理治疗聊天机器人的质量,帮助用户决策.
- 人气的人工智能心理治疗聊天机器人在关系和可访问性方面表现出优势,但在基本的安全和隐私功能方面表现出缺陷.
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