聊天机器人辅助自我评估 (CASA):为少数民族共同设计人工智能驱动的行为改变干预措施
Tom Nadarzynski1, Nicky Knights1, Deborah Husbands1
1School of Social Sciences, University of Westminster, London, United Kingdom.
PLOS digital health
|February 13, 2025
概括
交谈式人工智能 (AI) 聊天机器人可以在不同的人群中接受性健康自我评估. 用户匿名性对于参与和披露敏感健康信息至关重要.
科学领域:
- 数字健康数字健康
- 医疗保健中的人工智能
- 性健康 性健康 性健康
背景情况:
- 数字健康工具为解决影响少数民族和性少数群体的性健康差异提供了新的途径.
- 交谈式人工智能 (AI) 聊天机器人可以提供个性化的健康教育,并促进医疗咨询的转诊.
- 这项研究探讨了文化敏感,聊天机器人辅助的自我评估干预措施的设计原则,重点是健康信息披露.
研究的目的:
- 调查用户的舒适度和愿意向性健康聊天机器人披露健康信息.
- 确定影响信息披露和用户对聊天机器人主导健康评估的看法的因素.
- 探索文化敏感的聊天机器人干预性健康的设计原则.
主要方法:
- 一项在线调查 (N=1,287) 对一个种族多样化的英国样本进行了评估,评估了健康信息披露和对聊天机器人风险评估的反应.
- 后续采访 (N=41) 探讨了人们对聊天机器人主导的健康评估的看法,重点是接受度和利用率.
- 用ANOVA,线性回归和主题分析分析了数据.
主要成果:
- 参与者通常对聊天机器人持中立至积极的态度,并且对披露人口统计和敏感健康数据感到舒服.
- 聊天机器人意识,以前的经验和积极的态度显著预测了信息披露.
- 定性分析揭示了关键主题,包括聊天机器人作为健康顾问,信息披露动态,建立信任的策略,以及根据自我评估结果采取行动.
结论:
- 聊天机器人是种族不同的人群中性健康自我评估的可接受工具.
- 用户对披露敏感信息的舒适度很高,取决于确保用户匿名.
- 聊天机器人显示出作为健康教育和查资格评估的补充工具的潜力,未来需要研究它们对少数群体查普及的影响.
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