simulated-patients

AffAdapt: AFFect-driven ADAPTive AI Personas for Seamless Conversations

UIST Adjunct 2026AI-generated personas are being increasingly used for support, training and simulations. While generative AI models possess abilities to generate affect-aware responses, their embodiment into visual personas is an active area of investigation.

GenAI and Synthetic Data in Healthcare: Exploring the Design and Use of AI-Generated Data for Interactive Health Systems

ACM IH 2026Designing effective interactive health systems requires rich, realistic data to inform user-centered design activities. However, accessing authentic health data introduces major barriers due to privacy rules (HIPAA, IRBs, data use agreements) governing protected health information.

ConverSense: An Automated Approach to Assess Patient-Provider Interactions using Social Signals

CHI 2024 Analyzing patient-provider communication through social signals like dominance, interactivity, engagement, and warmth can help improve care by identifying opportunities for better interactions. We introduce a machine-learning pipeline embedded in ConverSense, a web application that visualizes communication patterns across visits. A user study with clinicians and patients highlights its potential to provide actionable, context-specific feedback for enhancing communication quality and patient outcomes.