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Designing human-centered AI-driven applications require deep understandingsof how people develop mental models of AI. Currently, we have little knowledgeof this process and limited tools to study it. This paper presents the positionthat AI-based games, particularly the player-AI interaction component, offer anideal domain to study the process in which mental models evolve. We present acase study to illustrate the benefits of our approach for explainable AI.

Understanding Mental Models of AI through Player-AI Interaction