影响适当依赖人工智能支持的临床决策支持系统的心理因素:皮肤科医生之间的实验性基于Web的研究
Alisa Küper1, Georg Christian Lodde2, Elisabeth Livingstone2
1Social Psychology: Media and Communication, University of Duisburg-Essen, Duisburg, Germany.
Journal of medical Internet research
|April 4, 2025
概括
医生在人工智能支持下表现出更高的准确性,但对人工智能的依赖程度较低,自力更强. 对技术和经验的信任影响了人工智能的依赖,表明需要量身定制的人工智能系统设计.
科学领域:
- 医疗决策支持系统 医疗决策支持系统
- 医疗保健中的人工智能
- 人与计算机的交互
背景情况:
- 人工智能 (AI) 决策支持系统在医学中至关重要,但由于不完善的可靠性,需要人类监督.
- 医生对人工智能的依赖程度因心理因素和经验而异.
研究的目的:
- 调查影响对医疗人工智能建议信任和依赖的心理因素.
- 通过检查相对的AI依赖和自力更生来评估依赖的适当性.
主要方法:
- 对223名皮肤科医生进行的调查涉及病变图像分类任务.
- 经过验证的调查问卷评估了信任,技术倾向,控制信念,认知需求,经验和信心.
主要成果:
- 人工智能支持提高了精度1% (P<.001).
- 对于正确的建议,对人工智能的依赖率更高 (P<.001).
- 平均相对AI依赖率为10.04%,而自力更生率为85.6%. 倾向于信任技术和医疗经验的倾向影响了人工智能依赖.
结论:
- 人工智能系统应设计为帮助对技术高度信任的用户识别人工智能错误.
- 应鼓励经验丰富的医生批判性地参与AI建议.
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