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Shaping Habit Formation Insights with Shapley Values: Towards an Explainable AI-system for Self-understanding and Health Behavior Change

May 1, 2021

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Lewis, Robert, et al. "Shaping Habit Formation Insights with Shapley Values: Towards an Explainable AI-system for Self-understanding and Health Behavior Change." CHI 2021 Workshop Paper. Realizing AI in Healthcare: Challenges Appearing in the Wild.

Abstract

This paper presents our ongoing work to design an explainable artificial intelligence (XAI) system that helps individuals to form new healthy habits. We are developing this system on data collected from our recent observational study in which 62 participants attempted to develop a new mindful breathing habit over 6 weeks. We discuss the design and empirical results of our system, which uses Shapley values to generate explanations for predictions about user behavior, and outline how our technical approach can enable adaptive and personalized intervention tools that assist users in realizing health behavior change in the wild.

via CHI 2021 Workshop Paper
chi21_ai_health_robert_lewis_mit_shapley_habit_formation_final_paper.pdf
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