Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors

要旨

The growing demand for accessible mental health support requires training more counselors, yet existing approaches remain resource-intensive and difficult to scale. LLMs can realistically simulate patients and generate actionable feedback for training, but their actual impact on novice counselor skill development remains unknown. We developed an LLM-simulated practice and feedback system and conducted a randomized study with 94 novice counselors, comparing practice alone versus practice with feedback. We evaluated behavioral performance, self-efficacy, and qualitative reflections. Results showed the practice-and-feedback group improved in client-centered microskills (reflections, questions), while the practice-alone group showed no improvements. For empathy, the practice-alone group declined over time and performed significantly worse than the feedback group. Qualitative interviews reinforced these findings: feedback helped participants adopt a client-centered listening approach, while practice-alone participants remained solution-oriented. These results suggest LLM-based training systems can promote effective skill development, and combining simulated practice with structured feedback is critical for meaningful improvement.

受賞
Honorable Mention
著者
Ryan Louie
Stanford University, Stanford, California, United States
Raj Sanjay. Shah
Georgia Institute of Technology, Atlanta, Georgia, United States
Ifdita Hasan Orney
Stanford University, Stanford, California, United States
Juan Pablo Pacheco
Stanford University, Stanford, California, United States
Emma Brunskill
Stanford University, Stanford, California, United States
Diyi Yang
Stanford University, Stanford, California, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: AI Collaboration in Practice

P1 - Room 128
7 件の発表
2026-04-14 18:00:00
2026-04-14 19:30:00