桥梁技术和假测遗传服务:聊天机器人交互模式,用户特征和遗传测试决策的定量研究
Yang Yi1,2, Lauren Kaiser-Jackson2, Jemar R Bather3,4
1Department of Communication, University of Utah, Salt Lake City, UT, United States.
Journal of medical Internet research
|September 17, 2025
概括
这项研究发现,大多数用户完成了聊天机器人癌症遗传学教育,并愿意进行基因测试. 然而,参与更多提示或提出问题,降低了继续测试的可能性.
科学领域:
- 遗传学 遗传学 是一个
- 医疗信息学 医疗信息学
- 数字健康数字健康
背景情况:
- 聊天机器人或对话代理越来越多地用于遗传服务提供.
- 在现实环境中,对用户与医疗保健聊天机器人的互动存在有限的研究.
研究的目的:
- 为了检查用户与癌症遗传学教育聊天机器人的交互模式.
- 调查用户特征,聊天机器人交互和遗传测试决策之间的关联.
主要方法:
- 来自实用试验的数据分析,将聊天机器人干预与遗传性癌症遗传检测的标准护理进行比较.
- 参与者通过聊天机器人获得了教育内容,可以选择补充提示和开放式问题.
- 后勤回归模型评估了因素和遗传测试决策之间的关系.
主要成果:
- 83.5%的用户完成了聊天机器人交互,80.6%的完成者愿意进行基因测试.
- 选择更多提示或提出开放式问题与追求基因测试的可能性较低有关.
- 相互作用模式通常与临床或社会人口学因素无关,这表明潜在的可扩展性.
结论:
- 聊天机器人在吸引用户方面表现出有效性,并且在遗传教育方面具有很高的可接受性.
- 社会人口统计学因素没有显著影响互动模式,表明广泛适用.
- 未来的聊天机器人设计应该解决高度的信息需求,以更好地支持知情的遗传决策.
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