用AI模拟患者+实时反馈，提升心理咨询师训练效率
Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance Visualizations
- AI模拟患者与逐句表现可视化结合，实现高频精准反馈
- 专业与学生咨询师均表现出高使用满意度和易用性
- 适合心理、教育等需要共情能力的社交技能训练
心理咨询服务培训依赖大量角色扮演练习，现有手动反馈方式难以提供持续细致的指导。本文提出一种基于大语言模型的训练系统，通过模拟患者与逐轮对话表现可视化，帮助学习动机式访谈技巧的咨询师获得即时、具体反馈。研究在专业及学生咨询师中开展评估，结果表明系统具备高可用性和用户满意度。研究为自动化社交技能训练系统的设计提供了实践启示，并可推广至其他需共情能力的领域。
原文摘要 · Abstract (English)
Learning therapeutic counseling involves significant role-play experience with mock patients, with current manual training methods providing only intermittent granular feedback. We seek to accelerate and optimize counselor training by providing frequent, detailed feedback to trainees as they interact with a simulated patient. Our first application domain involves training motivational interviewing skills for counselors. Motivational interviewing is a collaborative counseling style in which patients are guided to talk about changing their behavior, with empathetic counseling an essential ingredient. We developed and evaluated an LLM-powered training system that features a simulated patient and visualizations of turn-by-turn performance feedback tailored to the needs of counselors learning motivational interviewing. We conducted an evaluation study with professional and student counselors, demonstrating high usability and satisfaction with the system. We present design implications for the development of automated systems that train users in counseling skills and their generalizability to other types of social skills training.
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