人工智能感知和技术压力在工作人员放射科医生:人工智能接受的调解作用和自我效率的调节作用
Giovanni Di Stefano1, Sergio Salerno2, Domenica Matranga2
1Department of Psychology, Educational Science and Human Movement, University of Palermo, 90133 Palermo, Italy.
Behavioral sciences (Basel, Switzerland)
|September 27, 2025
概括
对人工智能 (AI) 的负面看法增加了医疗保健专业人员的技术压力. 促进人工智能的接受和能力可以减轻这些影响,改善医疗保健工作环境.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 人与计算机的互动.
- 职业健康心理学 职业健康心理学
背景情况:
- 由于快速采用技术,医疗保健专业人员经历了技术压力.
- 了解人工智能 (AI) 的心理影响对于在医疗保健中有效实施至关重要.
研究的目的:
- 研究医疗保健专业人员对人工智能和技术压力的看法之间的关系.
- 检查人工智能接受的调解作用和自我效能在这种关系中的调节作用.
主要方法:
- 调查数据从71名医疗保健专业人员 (放射科住院医生,主治放射科医生,博士研究人员) 收集.
- 这些措施包括人工智能的感知,人工智能接受度 (UTAUT),自我效率和技术压力结果.
- 使用条件过程分析 (PROCESS Model 7) 来分析数据.
主要成果:
- 人工智能的感知与整体技术压力增加,技术过载和技术复杂性/不安全性直接相关.
- 人工智能接受度负面预测了这三种技术压力结果.
- 自我有效性调节了从AI感知到AI接受的路径,但调节的调解并不重要.
结论:
- 对人工智能的看法既有直接的负面影响,也有通过对技术压力的接受而产生间接的缓冲效应.
- 减轻人工智能相关技术压力的策略应侧重于提高人工智能接受度和专业能力.
- 解决工作量和组织清晰度对于成功地将AI整合到医疗保健环境中至关重要.
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