在谷歌人工智能概述,ChatGPT和Alexa的背景下发展健康信息搜索行为:采访研究使用Think-Aloud协议
Claire Wardle1, Shaydanay Urbani2, Eric Wang2
1Department of Communication, Cornell University, Ithaca, NY, United States.
Journal of medical Internet research
|October 7, 2025
概括
用户选择性地使用人工智能 (AI) 和语音助理来获取健康信息,优先考虑感知到的有用性,而不仅仅是可信度. 这种动态,背景驱动的方法挑战了数字健康素养的传统可信性假设.
科学领域:
- 数字健康数字健康
- 人与计算机的交互
- 信息科学 信息科学 信息科学
背景情况:
- 人工智能 (AI) 和大型语言模型 (LLM) 正在改变在线健康信息搜索.
- 现有的模型不足以解释用户与AI工具的互动,提供单一答案.
- 新型人工智能技术需要理解健康信息搜索行为的转变.
研究的目的:
- 探索用户对人工智能和语音辅助技术的参与,以获得健康信息.
- 评估这些工具如何重塑传统的健康信息搜索和可信度评估.
- 了解用户对人工智能和语音助理在健康信息检索中的看法.
主要方法:
- 27名参与者 (19-80岁) 的定性研究,使用大声思考协议.
- 参与者在谷歌,ChatGPT和Alexa上搜索健康信息.
- 对转录的会议进行反思性主题分析,以确定搜索模式和感知.
主要成果:
- 用户将人工智能工具集成到现有的搜索程序中,重视ChatGPT的清晰度和速度.
- 信任和实用性往往是错误的;尽管对采购和偏见的担忧,但用户访问了ChatGPT.
- 谷歌AI概述被谨慎地处理;Alexa被认为是方便的,但对于复杂的查询而言是有限的.
结论:
- 随着人工智能和语音技术的发展,健康信息的搜索变得越来越动态和背景驱动.
- 感知到的有用性,而不仅仅是可信度,推动了人工智能健康工具的采用.
- 数字健康素养必须不断发展,包括对AI能力和局限性的评估.
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