Playing with Dezgo: Adapting Human-AI Interaction to the Context of Play

Play is a valuable context for investigating how users understand AI systems. This paper offers a case study that explores how users' interactions with AI in other domains can be integrated into a game. Through this transformation, researchers and practitioners may uncover players' misconceptions and learn how they evolve over time. In our case study, we adapt Stable Diffusion for use in a social human-AI interaction (HAI) game. The game introduces a challenging twist to a typical HAI and promotes discussion of users' mental models with each other. We offer design considerations to help researchers design playful and social interactions that yield insights into players' mental models.