Poster
in
Workshop: Methods and Opportunities at Small Scale (MOSS)

Personalizing AI Interventions in Multiple Health Behavioral Change Settings

Samantha Marks ⋅ Michelle Chang ⋅ Eura Nofshin ⋅ Weiwei Pan ⋅ Finale Doshi-Velez

Keywords: reinforcement learning multiple health behavioral change mHealth personalization MHBC mobile health RL

Project Page [ OpenReview]

Abstract

We introduce a novel reinforcement learning (RL) framework for personalizing AI interventions in multiple health behavior change (MHBC) settings. Our key contribution is a simple, interpretable model that captures empirically observed human behaviors. Using this model, we provide insight into how the AI will intervene, including when it has varying degrees of knowledge about the human model.

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