影响信任和使用生成人工智能用于健康信息的意愿的因素:一个横截面研究
Adela Svestkova1, Yi Huang1, David Smahel1
1Interdisciplinary Research Team on Internet and Society, Faculty of Social Studies, Masaryk University, Brno, Czech Republic.
Digital health
|July 30, 2025
概括
对生成性AI的信任是其在健康信息搜索中采用的关键. 虽然健康状况和焦虑通过信任间接影响使用,但电子健康素养的影响最小. 在线寻找健康信息 (OHIS) 涉及特定的人工智能用例.
科学领域:
- 数字健康数字健康
- 医疗保健中的人工智能
- 卫生沟通健康沟通
背景情况:
- 生成型人工智能越来越多地用于健康信息.
- 在线寻找健康信息 (OHIS) 是常见的.
- 了解人工智能在健康领域的用户采用因素至关重要.
研究的目的:
- 调查影响健康的生成AI采用因素.
- 检查健康状况,健康焦虑和电子健康素养的作用.
- 评估这些因素之间的关系,对人工智能的信任,以及使用人工智能的健康意愿.
主要方法:
- 在4775名成年捷克互联网用户中进行了横截面调查.
- 使用了结构方程建模 (SEM).
- 数据基于技术接受模型 (TAM) 进行分析.
主要成果:
- 对人工智能的信任强烈预测了使用人工智能的健康意愿.
- 健康状况和焦虑影响人工智能使用间接通过信任.
- 电子健康素养与信任的关联很小,与人工智能使用没有直接联系.
- 对健康/疾病的OHIS与人工智能用于各自目的的相关.
结论:
- 信任是健康领域生成性人工智能采用的关键调解者.
- 诸如健康状况和焦虑等因素主要通过信任影响AI使用.
- 电子健康素养对人工智能信任和采用健康信息的影响有限.
- OHIS模式与特定的人工智能使用意图保持一致.
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