Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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
Supervisors
Examiners
Available from: 2023-10-30 Created: 2023-09-27 Last updated: 2023-10-30Bibliographically approved

Open Access in DiVA

fulltext(783 kB)913 downloads
File information
File name FULLTEXT01.pdfFile size 783 kBChecksum SHA-512
fca95ed6621945a1c8c8ff08ed5b1561af5418313c8933cca1824e57bbc701e69a1b64b4df43200633bd0e0ef9ec8b1bc73385dc00f299c3ab9bec29285b1d68
Type fulltextMimetype application/pdf

By organisation
School of Informatics
Information SystemsComputer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 914 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 4940 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf