Exploring GenAI-Driven Innovation in Game Development

The game industry, now generating over $200 billion annually, has become a major force in entertainment, yet game development remains underexplored in software engineering research. Generative AI (GenAI) has introduced new opportunities for content automation in game development, offering benefits in testing, design, and player engagement. However, integrating GenAI across game development phases presents unique technical, creative, and collaborative challenges. This study aims to develop an adaptable framework that addresses these challenges by providing practical insights and strategies to enhance collaboration, creativity, and efficiency. Using a mixed-methods approach, including open-source analysis and developer surveys and interviews, we will construct a grounded theory on GenAI adoption. The insights will inform a framework refined with industry feedback, contributing datasets, guidelines, and tools to support sustainable GenAI integration in game development.

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Publication Details

Published
2025-04-27
DOI
https://doi.org/10.1109/icse-companion66252.2025.00046
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
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article

Exploring GenAI-Driven Innovation in Game Development

Xiang Chen
Educational Games and Gamification
article

Exploring GenAI-Driven Innovation in Game Development

Xiang Chen
article en

Abstract

The game industry, now generating over $200 billion annually, has become a major force in entertainment, yet game development remains underexplored in software engineering research. Generative AI (GenAI) has introduced new opportunities for content automation in game development, offering benefits in testing, design, and player engagement. However, integrating GenAI across game development phases presents unique technical, creative, and collaborative challenges. This study aims to develop an adaptable framework that addresses these challenges by providing practical insights and strategies to enhance collaboration, creativity, and efficiency. Using a mixed-methods approach, including open-source analysis and developer surveys and interviews, we will construct a grounded theory on GenAI adoption. The insights will inform a framework refined with industry feedback, contributing datasets, guidelines, and tools to support sustainable GenAI integration in game development.

University of Waterloo (CA)
Industry, innovation and infrastructure
Openalex Percentile: Top 86%
Educational Games and Gamification
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Exploring GenAI-Driven Innovation in Game Development — Xiang Chen · (2025) | TGRS Research Map | TGRS