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对抑郁和焦虑进行人工智能化身教育工具的开发和评估:一种定性试点研究
Adam Bleik1,2,3, Patricia Marr1,2,4, Shelly-Anne Li2,4
1University Health Network, Department of Pharmacy, Toronto, Ontario, Canada.
Journal of primary care & community health
|January 20, 2026
概括
类似人类的人工智能化身可以有效地教育患者抗抑郁药,改善对抑郁和焦虑的理解和参与. 这种新的工具表明,它有望提高超越心理健康状况的患者教育.
科学领域:
- 医学教育 医学教育
- 人与计算机的交互
- 医疗保健中的人工智能
背景情况:
- 抑郁和焦虑影响了加拿大人口的很大一部分.
- 传统的患者教育材料经常面临长度和理解方面的挑战,导致患者脱离参与.
- 类似人类的人工智能化身提供了一种新的,引人入胜的,可访问的方法来提供教育内容.
研究的目的:
- 为患有抑郁症和焦虑症的患者开发和评估类似人类的,非生成的人工智能化身教育视频,学习抗抑郁药.
- 评估患者对人工智能工具的认知,以评估其可信度,满意度和理解程度.
主要方法:
- 人工智能化身视频是使用两个计划-做-研究-行动 (PDSA) 周期开发的,其中包括患者对抗抑郁药使用的反.
- 参与者完成了调查,以评估可信度,满意度和理解,在5分利克特级别.
- 成功被定义为至少60%的参与者将每个域名评为4或更高.
主要成果:
- 最初的开发 (PDSA周期1) 在信誉 (75%) 和满意度 (67%) 中表现出成功,但没有理解 (50%).
- 经过修订后,PDSA周期2显示所有领域都超过了成功值:可信度 (90%),满意度 (85%),理解度 (82%).
- 参与者发现人工智能化身工具值得信赖,清晰和吸引人.
结论:
- 类似人类,非生成的人工智能化身是有效的补充工具,用于教育患者服用抗抑郁药.
- 人工智能化身在可信度,满意度和感知理解方面表现出高度的可接受性,增强了患者的参与度.
- 这种可扩展的以化身为基础的教育格式在心理健康之外,在各种条件和环境中都有潜在的应用.
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