Double Impact: Children’s Serious RPG Generation/Play with a Large Language Model for Their Deeper Engagement in Social Issues

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Abstract

Through simulated experiences, RPGs aid children’s exploration of issues, but their design can be labor-intensive. In our recent Academy Camp, children rapidly created, played, and reflected on their own RPGs using a large language model (GPT-4) for topics in which they were interested. This fast-paced, cyclical process has a double impact on children’s comprehension of social issues: first through game design, then through game play. We anticipate further applications for this method.

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Saito, K., Kobayashi, K., Takekoshi, W., Hashimoto, A., Hirai, N., Kimura, A., … Mano, A. (2023). Double Impact: Children’s Serious RPG Generation/Play with a Large Language Model for Their Deeper Engagement in Social Issues. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14309 LNCS, pp. 274–289). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-44751-8_21

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