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New AI framework simulates realistic patient personalities for LLM testing

Researchers have developed a new framework called PatientsWithPersonality (PWP) to generate more realistic and controllable virtual patient simulations for testing clinical AI applications. This framework utilizes the HEXACO model of personality to parameterize patient traits, allowing for fine-grained control over conversational style, cooperativeness, and information disclosure. Evaluations indicate that PWP simulations are nearly as realistic as human actors and significantly reduce instances of oversharing compared to previous methods. AI

IMPACT Enables more accurate and informative benchmarking of clinical LLMs through realistic and steerable patient simulators.

RANK_REASON The cluster contains a research paper detailing a new framework for patient simulation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Moritz Schlager, Friederike Jungmann, Samuel Schmidgall, Philipp Raffler, Franziska Hartl, Eva Wende, Paula Ro{\ss}m\"uller, Conrad Ketzer, Avinatan Hassidim, Dale R. Webster, Yossi Matias, Yun Liu, Daniel Rueckert, Mike Schaekermann, Paul Hager ·

    Patients With Personality: Realistic Patient Simulation through Controlled Diversity and Selective Disclosure

    arXiv:2606.17441v1 Announce Type: cross Abstract: Simulating realistic patient interactions is a key requirement to testing clinical applications of LLMs at scale without time-consuming and expensive user studies. However, existing approaches often lack realism and controllabilit…