Generative AI in Game Pedagogy -  AI Game Test Questionnaire Assistant

Wang, Qingyang

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Generative AI in Game Pedagogy - AI Game Test Questionnaire Assistant

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Playtesting is essential to game development, as it is the portal between game developers and players. A reliable way to communicate feelings and feedback from playtesters can help the game development team facilitate the iterative game creation process. With the current technical development in artificial intelligence (AI), we can combine existing powerful AI functions to help students design playtesting protocols, collect data, educate, and take other considerations into account. As a proof-of-concept, we designed and developed an AI Game Questionnaire Assistant. AI Game Test Questionnaire Assistant is a customized generative AI tool built with the GPT builder function published by OpenAI. It is designed to help users create a game test questionnaire or host game testing based on their design goal. The main objective of this AI tool is to communicate with users to gather information about users’ game projects through text or by analyzing uploaded documents. Then, it proposed a series of questions to better accumulate information around the context. After that, this AI agent will generate a comprehensive guide addressing the user’s specific needs. To understand the intervention of the proposed AI tool, we conducted a user study to gather feedback. Our observation of the interaction between testers and AI agents examines generative AI's potential applications in game design educational settings. We iterate on the AI tool design based on the testing feedback. Our data analysis provides insights into designing and creating generative AI-based educational feedback tools.

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