A stateful multi-agent system simulates demand-withdraw couple conflicts across six stages for therapist training and outperforms prompt-based baselines in realism and state detection.
Wong, Elisa Hollenberg, and Wendy Levinson
2 Pith papers cite this work. Polarity classification is still indexing.
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CandorMD is a new AI simulation and feedback system for training clinicians in medical error disclosure, informed by interviews with physicians, risk managers, and experts.
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Simulating Couple Conflict: Designing A Multi-Agent System for Therapy Training and Practice
A stateful multi-agent system simulates demand-withdraw couple conflicts across six stages for therapist training and outperforms prompt-based baselines in realism and state detection.
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CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure
CandorMD is a new AI simulation and feedback system for training clinicians in medical error disclosure, informed by interviews with physicians, risk managers, and experts.