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Effects of AI-Generated Content (AIGC) in the Game Development: From traditional PCG to AIGC
University of Skövde, School of Informatics.
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This paper aims to investigate the effect of AI-generated content (AIGC) when it starts to be applied in game development. AIGC in games refers to the generation of game content through artificial intelligence, a concept that has recently recieved a high level of attention due to the latest rapid developments in artificial intelligence, and in traditional research, AIGC can be categorized as an advanced approach to Procedural Content Generation (PCG), i.e., Deep Learning Method. Procedural Content Generation is the creation of game content through algorithms with limited or indirect user input. Its traditional approach has been widely used in games. Recently, however, the AIGC method has also started to be used by a large number of game companies, and its impact has exceeded expectations. A questionnaire survey of 40 game developers revealed a general interest in AIGC but also concerns. Further interviews explored the use of AIGC in game development and some of the problems it has encountered and predicted future trends in its development. The result of this study provide guidance on whether and how AIGC needs to be used in future game development.

Place, publisher, year, edition, pages
2023. , p. 26
Keywords [en]
AI-generated content, Procedural content generation, Game development
National Category
Information Systems Computer and Information Sciences
Identifiers
URN: urn:nbn:se:his:diva-23258OAI: oai:DiVA.org:his-23258DiVA, id: diva2:1800740
Subject / course
Informationsteknologi
Educational program
Spelutveckling - masterprogram
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Available from: 2023-10-30 Created: 2023-09-27 Last updated: 2023-10-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
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  • nn-NB
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  • Other locale
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Output format
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