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  1. Abstract

    This observational study examines the novel phenomenon of human-AI collaborative gameplay, focusing on games spontaneously invented by users interacting with ChatGPT.

    Over the six-week period, we observed and categorized more than 200
    distinct game sessions, analyzing patterns of rule
    formation, narrative co-creation, and the AI’s role as both player and game master.
    Our findings reveal that users consistently
    adapt ChatGPT’s linguistic strengths into structured play,
    producing three dominant game types: improvisational storytelling games, cooperative puzzle-solving challenges, and adversarial rule-based contests.
    The AI’s predictable yet creative responses serve as a stable platform for emergent social rituals,
    suggesting that large language models can work as versatile
    gaming partners without explicit programming.

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