为什么人们转向聊天GPT健康信息:扩展UTAUT与医疗保健不满和感知可信度
Jihyun Esther Paik1, Hyesun Choung2, Qinghua Yang3
1Department of Communication, Yonsei University.
Health communication
|February 2, 2026
概括
像ChatGPT这样的生成人工智能是一个健康信息来源. 根据这项研究,对医疗保健的不满增加了对轻度疾病的ChatGPT使用,但不是严重的疾病.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 人与计算机的交互
背景情况:
- 像ChatGPT这样的生成性AI工具越来越多地用于信息检索.
- 现有的技术采用模式需要在医疗保健环境中适应人工智能.
- 道互补理论帮助人们理解人工智能作为传统医疗保健的信息来源.
研究的目的:
- 预测使用ChatGPT用于健康信息的意图.
- 检查病情严重程度如何影响ChatGPT使用健康信息的预测指标.
- 扩展技术接受和使用的统一理论 (UTAUT) 用于医疗保健中的生成人工智能.
主要方法:
- 基于UTAUT的预测模型被开发和测试.
- 对医疗保健服务的不满和对ChatGPT的感知可信度被添加到UTAUT模型中.
- 条件的严重程度被分析为使用意图的调节者.
主要成果:
- 绩效预期,社会影响力和感知到的信誉预测了人们对使用ChatGPT的态度.
- 对ChatGPT的态度使用积极预测的使用意图;努力的预期并不重要.
- 对医疗保健服务的不满预测了对轻度疾病的更高的ChatGPT使用意向,但不是严重的疾病.
结论:
- 这项研究扩展了UTAUT,以解释为健康信息搜索而采用的生成人工智能.
- 感知到的信誉和业绩预期是使用人工智能健康工具的关键驱动因素.
- 医疗保健的不满独特地推动了对不太严重的疾病的人工智能工具的采用,突出了微妙的用户行为.
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