共同设计的教育干预措施可以帮助消费者批判性地思考询问ChatGPT健康问题吗? 来自随机对照试验的结果
Julie Ayre1, Melody Taba2, Brooke Nickel2
1Sydney Health Literacy Lab, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia. julie.ayre@sydney.edu.au.
NPJ digital medicine
|November 17, 2025
概括
教育动画减少了澳大利亚成年人在高风险情况下询问ChatGPT健康问题的意图. 这项研究提高了安全的AI工具导航的健康素养.
科学领域:
- 卫生识字 卫生识字
- 人工智能 (AI) 是一种人工智能.
- 数字健康数字健康
背景情况:
- 人工智能聊天机器人的使用越来越多,比如ChatGPT用于健康信息.
- 需要关键的评估技能来导航人工智能产生的健康内容.
- 对人工智能工具的健康素养干预进行有限的研究.
研究的目的:
- 评估两个简短的共同设计的健康素养干预 (动画和图像),旨在改善使用ChatGPT进行健康查询时的批判性反思.
- 评估这些干预措施对澳大利亚成年人使用ChatGPT用于低风险和高风险健康场景的意图的影响.
主要方法:
- 随机对照试验涉及澳大利亚成年人没有大学教育和有ChatGPT经验.
- 干预包括共同设计的动画或基于图像的教育模块.
- 主要结果测量了在假设的低风险和高风险健康场景中使用ChatGPT的意图.
主要成果:
- 与图像干预组相比,动画干预组对使用ChatGPT进行高风险场景的意图明显较低 (p=0.010).
- 与对照组相比,这两组干预组报告高风险情景的意图较低 (p<0.001).
- 没有观察到对低风险场景的意图有显著影响 (p=0.800).
结论:
- 简短的,共同设计的健康素养干预措施可以影响用户对AI健康信息搜索的意图.
- 基于动画的教育似乎更有效地减少了对高风险AI健康查询的意图.
- 需要进一步的研究来开发和验证在医疗保健中安全的AI工具导航策略.
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