Designer modeling for personalized game content creation tools

Antonios Liapis, Georgios N. Yannakakis, Julian Togelius

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    With the growing use of automated content creation and computer-aided design tools in game development, there is potential for enhancing the design process through personalized interactions between the software and the game developer. This paper proposes designer modeling for capturing the designer's preferences, goals and processes from their interaction with a computer-aided design tool, and suggests methods and domains within game development where such a model can be applied. We describe how designer modeling could be integrated with current work on automated and mixed-initiative content creation, and envision future directions which focus on personalizing the processes to a designer's particular wishes.

    Original languageEnglish (US)
    Title of host publicationArtificial Intelligence and Game Aesthetics - Papers from the 2013 AIIDE Workshop, Technical Report
    PublisherAI Access Foundation
    Pages11-16
    Number of pages6
    ISBN (Print)9781577356349
    StatePublished - 2013
    Event9th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2013 Workshop - Boston, MA, United States
    Duration: Oct 14 2013Oct 14 2013

    Publication series

    NameAAAI Workshop - Technical Report
    VolumeWS-13-19

    Other

    Other9th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2013 Workshop
    CountryUnited States
    CityBoston, MA
    Period10/14/1310/14/13

    ASJC Scopus subject areas

    • Engineering(all)

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  • Cite this

    Liapis, A., Yannakakis, G. N., & Togelius, J. (2013). Designer modeling for personalized game content creation tools. In Artificial Intelligence and Game Aesthetics - Papers from the 2013 AIIDE Workshop, Technical Report (pp. 11-16). (AAAI Workshop - Technical Report; Vol. WS-13-19). AI Access Foundation.