Beyond Optimization: Designing High-Quality AI Communication in Adaptive Health Interventions

Abstract

Adaptive digital health systems increasingly rely on artificial intelligence to deliver Just-in-Time Adaptive Interventions (JITAIs), providing health behavioral support based on real-time contextual information. While substantial research has focused on sensing technologies and algorithmic optimization, far less attention has been given to how these systems communicate with users during sensitive or context-dependent moments. In particular, the interactional qualities of AI-generated health messages remain underexplored. This Birds of a Feather (BoF) session brings together researchers and practitioners from Interactive Health, Human–Computer Interaction, behavioral science, and artificial intelligence to explore what constitutes high-quality AI communication in adaptive health interventions. Through facilitated discussion and small-group activities, participants will analyze example AI-generated messages and reflect on how communication influences user perception and response. The session aims to surface key challenges, share perspectives across disciplines, and foster an interdisciplinary community interested in advancing interactional quality in AI-mediated health communication.