临床心理学中生成人工智能的障碍和促进因素:基于COM-B和理论领域框架 (TDF) 模型的定性研究
Daniel de la Fuente Tambo1, Sara Iglesias Moreno2, Manuel Armayones Ruiz3
1Behaviour Design Lab, Universitat Oberta de Catalunya, Barcelona, Spain.
BMC psychology
|October 28, 2025
概括
心理学家 心理学家
科学领域:
- 心理学 心理学 心理学
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 研究心理学家对治疗中生成人工智能 (GenAI) 采用的看法.
- 探索将GenAI整合到治疗实践中的障碍和促进因素.
- 探讨了人工智能对未来心理干预措施的影响.
研究的目的:
- 了解心理学家关于在治疗环境中实施生成人工智能 (GenAI) 的观点.
- 确定影响心理学家接受或拒绝GenAI的关键因素.
- 评估GenAI对未来心理干预的影响.
主要方法:
- 使用半结构面试对西班牙14名私人护理心理学家进行定性研究.
- 根据理论领域框架 (TDF) 设计的采访,以确定障碍和推动者.
- 对转录的采访进行内容分析,将主题映射到TDF和COM-B组件.
主要成果:
- 确定了18个影响GenAI采用的因素:12个障碍和6个促进者.
- 关键的障碍包括人工智能缺乏理解和数据隐私问题.
- 主要促进者包括人工智能技能培训和数字助理的潜力.
结论:
- 强调需要为心理学家加强人工智能培训.
- 人工智能的专业接受取决于培训和经验,对它的影响有不同的看法.
- 信息隐私是成功在治疗中部署人工智能的关键因素.
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