人工智能聊天机器人对健康行为变化的开发和使用:范围审查
Lingyi Fu1, Ryan Burns1, Yuhuan Xie1
1Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, United States.
Journal of medical Internet research
|January 28, 2026
概括
人工智能聊天机器人显示出改变健康行为的承诺,充当教练或助理. 虽然大多数研究都显示出积极的结果,但需要进一步研究长期影响和特定行为.
科学领域:
- 数字健康数字健康
- 人与计算机的交互
- 行为科学 行为科学
背景情况:
- 人工智能 (AI) 聊天机器人通过自然语言增强了人机交互.
- 移动健康干预利用人工智能聊天机器人来提高成本效益,参与度,自主性,个性化和支持健康行为变化.
- 人工智能聊天机器人为健康行为修改提供了更自然和直观的方法.
研究的目的:
- 提供关于人工智能聊天机器人设计,开发和评估健康行为变化的全面概述.
- 检查AI聊天机器人的角色,理论基础,行为改变技术,开发工作流程和验证框架,涉及八种健康行为.
- 综合当前关于人工智能聊天机器人促进健康行为变化有效性的证据.
主要方法:
- 根据PRISMA-ScR框架进行了系统范围审查.
- 从九个主要的文献数据库中确定了研究,使用专门的软件 (Covidence,Microsoft Excel) 进行了选和数据提取.
- 使用叙事综合,内容分析和证据映射方法,综合了来自43项纳入研究的发现.
主要成果:
- 人工智能聊天机器人主要作为常规教练 (62.79%) 或按需助理 (27.91%),通常以认知行为治疗原则和目标设定等技术为指导.
- 共同开发涉及与社交消息应用程序集成的非代码平台. 评估涵盖了技术性能,可用性,参与度和健康行为变化.
- 虽然81.67%的比较显示出积极的结果,但显著的健康行为变化的证据仍然是探索性的,主要观察到的好处是体育活动,戒烟和压力管理.
结论:
- 该审查为AI聊天机器人开发和评估健康行为变化的路线图提供了路线图.
- 建议进行进一步的研究,以探索成本效益,实施结果以及睡眠和体重管理等研究不足的行为.
- 人工智能聊天机器人是数字健康干预的有希望的,但仍在发展的工具.
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