使用Aipaca聊天机器人进行人工智能支持的个性化戒烟干预:混合方法可行性研究
Yunlong Liu1, Paul Calle1, Mariah Vadakekut1
1School of Computer Science, University of Oklahoma, Norman, OK, United States.
JMIR formative research
|December 11, 2025
概括
生成型人工智能 (GenAI) 聊天机器人通过提高准备能力和参与度来支持戒烟. 这项研究发现,GenAI咨询提高了戒烟的准备度,尽管用户希望更多的问责制和个性化.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 医疗保健中的人工智能
- 行为科学是一种行为科学.
背景情况:
- 吸烟戒断服务由于进入和人员配备障碍而未得到充分利用.
- 生成型人工智能 (GenAI) 聊天机器人为个性化,可访问的戒烟支持提供了潜在的解决方案.
- 关于GenAI在戒烟结果和沟通过程中的有效性,目前的研究有限.
研究的目的:
- 评估GenAI聊天机器人 (Aipaca) 提供基于证据的戒烟咨询的可行性.
- 评估参与者戒烟准备的前后变化.
- 分析通讯动态和用户对GenAI聊天机器人的看法.
主要方法:
- 一项混合方法研究,涉及29名成年吸烟者使用GenAI聊天机器人 (GPT-4)进行30分钟的咨询会话.
- 前后调查测量了戒烟知识,自我效能和戒烟的准备.
- 对成绩单和半结构面试的对话分析探索了沟通模式和用户反.
主要成果:
- 参与者在知识,自我效能和戒烟准备度方面表现出显著的改善.
- 对话分析揭示了支持辅导动态的模式,如连续性和协作规划.
- 用户发现聊天机器人易于使用和激励,但希望获得更大的问责制和文化相关性.
结论:
- 基因人工智能可以提供有效的戒烟咨询,在准备和积极的沟通模式方面产生短期收益.
- 用户反强调了以人为中心的设计,准确性保障和整合到更广泛的戒烟基础设施的需要.
- 基因人工智能聊天机器人显示出数字健康的潜力,但需要仔细设计和实施以实现最佳的临床部署.
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