Experience-Driven Procedural Content Generation

Georgios N. Yannakakis, Julian Togelius

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

    Abstract

    Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design. Personalization of user experience via affective and cognitive modeling, coupled with real-time adjustment of the content according to user needs and preferences are important steps toward effective and meaningful PCG. Games, Web 2.0, interface, and software design are among the most popular applications of automated content generation. The paper provides a taxonomy of PCG algorithms and introduces a framework for PCG driven by computational models of user experience. This approach, which we call Experience-Driven Procedural Content Generation (EDPCG), is generic and applicable to various subareas of HCI. We employ games as an example indicative of rich HCI and complex affect elicitation, and demonstrate the approach's effectiveness via dissimilar successful studies.
    Original languageEnglish
    JournalIEEE Transactions on Affective Computing
    Volume2
    Issue number3
    Pages (from-to)147-161
    ISSN2371-9850
    Publication statusPublished - 2011

    Keywords

    • Procedural content generation
    • user affect
    • user experience
    • personalization
    • adaptation
    • computer games

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