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GPT for Games: A Scoping Review (2020-2023)

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arxiv 2404.17794 v1 pith:WTVRGP7Z submitted 2024-04-27 cs.HC cs.AI

classification cs.HCcs.AI
keywords gamegamesapplicationsresearchreviewareascurrentmixed-initiative
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper introduces a scoping review of 55 articles to explore GPT's potential for games, offering researchers a comprehensive understanding of the current applications and identifying both emerging trends and unexplored areas. We identify five key applications of GPT in current game research: procedural content generation, mixed-initiative game design, mixed-initiative gameplay, playing games, and game user research. Drawing from insights in each of these application areas, we propose directions for future research in each one. This review aims to lay the groundwork by illustrating the state of the art for innovative GPT applications in games, promising to enrich game development and enhance player experiences with cutting-edge AI innovations.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs

    cs.AI 2025-09 reject novelty 4.0 of 10

    Fine-tuning LLaMA-3 on GPT-4-generated GDD-code pairs yields a model that writes Unity C# templates from game design documents, but the reported 4.8/5.0 advantage over baselines rests on a weak three-game, three-rater...

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