Toward Designer Modeling Through Design Style Clustering

Alberto Alvarez, Jose Font, Julian Togelius

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We propose modeling designer style in mixed-initiative game content creation tools as archetypical design traces. These design traces are formulated as transitions between design styles; these design styles are in turn found through clustering all intermediate designs along the way to making a complete design. This method is implemented in the Evolutionary Dungeon Designer, a research platform for mixed-initiative systems to create adventure and dungeon crawler games. We present results both in the form of design styles for rooms, which can be analyzed to better understand the kind of rooms designed by users, and in the form of archetypical sequences between these rooms, i.e., designer personas.

    Original languageEnglish (US)
    Pages (from-to)676-686
    Number of pages11
    JournalIEEE Transactions on Games
    Volume14
    Issue number4
    DOIs
    StatePublished - Dec 1 2022

    Keywords

    • Computer games
    • designer modeling
    • mixed-initiative cocreativity
    • procedural content generation
    • unsupervised learning

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence
    • Electrical and Electronic Engineering
    • Control and Systems Engineering

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