8 papers
PatientAct: Theory-Grounded Mental Health Client Simulation
Sahand Sabour, TszYam NG, Yaqian Chen +3
LLM-based simulated clients are increasingly used to train novice counselors, evaluate LLM therapists, and generate synthetic data. However, current simulators produce overly coope…
CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure
Inna Wanyin Lin, Sahand Sabour, Hong Sng +4
Clinicians are expected to disclose harmful medical errors to patients and families in line with ethical, regulatory, and patient care standards, yet these conversations remain cha…
PatientHub: A Unified Framework for Patient Simulation
Sahand Sabour, TszYam NG, Minlie Huang
As Large Language Models increasingly power role-playing applications, simulating patients has become a valuable tool for training counselors and scaling therapeutic assessment. Ho…
Human Decision-making is Susceptible to AI-driven Manipulation
Sahand Sabour, June M. Liu, Siyang Liu +13
AI systems are increasingly intertwined with daily life, assisting users with various tasks and guiding decision-making. This integration introduces risks of AI-driven manipulation…
Free Lunch for User Experience: Crowdsourcing Agents for Scalable User Studies
Siyang Liu, Sahand Sabour, Xiaoyang Wang +1
User studies are central to user experience research, yet recruiting participant is expensive, slow, and limited in diversity. Recent work has explored using Large Language Models…
Enhanced Large Language Models for Effective Screening of Depression and Anxiety
June M. Liu, Mengxia Gao, Sahand Sabour +3
Depressive and anxiety disorders are widespread, necessitating timely identification and management. Recent advances in Large Language Models (LLMs) offer potential solutions, yet…