开发和初步测试基于大型语言模型的安全聊天机器人,用于青年成年人短期酒精咨询
Brian Suffoletto1, Duncan B Clark2, Christine Lee3
1Department of Emergency Medicine, Stanford University, USA.
Drug and alcohol dependence
|May 7, 2025
概括
一个新的AI聊天机器人,动机面试对话代理 (MICA),显示出向年轻成年人提供酒精咨询的希望. 这种由人工智能驱动的工具在试点研究中证明了安全性,高可用性,并提高了动机面试忠实度.
科学领域:
- 数字健康数字健康
- 人工智能在行为健康中的作用
- 药物使用干预措施.
背景情况:
- 年轻人在获得基于证据的酒精干预措施方面面临重大障碍.
- 大型语言模型 (LLM) 提供了个性化行为干预的潜力.
- 对酒精咨询的LLM的应用是一个尚未探索的领域.
研究的目的:
- 评估 Secure GPT-4 支持的基于文本的激励面试对话代理 (MICA) 的开发和初步结果.
- 评估MICA在年轻成年人中的安全性,MI忠实性和可用性.
- 探索干预有效性的替代措施.
主要方法:
- 一个前性的单臂试点研究,有两个阶段 (n=8,n=37) 涉及高酒精消费的年轻成年人 (18-25).
- 评估MICA的安全性,MI的忠实性 (MI的客户端评估[CEMI]) 和可用性 (系统可用性量表).
- 分析会话日志以进行更改谈话和定性反.
主要成果:
- 在MICA会议期间没有检测到任何不安全的反应.
- 从I阶段到II阶段的MI关系忠实度 (CEMI) 显著改善 (67.2%至82.6%,p=0.03).
- 观察到持续高的可用性 (第一阶段:85.4;第二阶段:80.9) 和变更谈话比例 (第一阶段:65.2%;第二阶段:75.8%).
结论:
- 像MICA这样的基于LLM的聊天机器人可以为年轻人提供可以接受的和MI的酒精干预措施.
- 初步证据表明,MICA保持了高MI保真度.
- 未来的研究应该利用随机对照试验和更长的随访期来评估饮酒结果的影响.
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