Data-driven design: A case for maximalist game design paper type: Position paper

Gabriella A.B. Barros, Michael Cerny Green, Antonios Liapis, Julian Togelius

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

    Abstract

    Maximalism in art refers to drawing on and combining multiple different sources for art creation, embracing the resulting collisions and heterogeneity. This paper discusses the use of maximalism in game design and particularly in data games, which are games that are generated partly based on open data. Using Data Adventures, a series of generators that create adventure games from data sources such as Wikipedia and OpenStreetMap, as a lens we explore several tradeoffs and issues in maximalist game design. This includes the tension between transformation and fidelity, between decorative and functional content, and legal and ethical issues resulting from this type of generativity. This paper sketches out the design space of maximalist data-driven games, a design space that is mostly unexplored.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 9th International Conference on Computational Creativity, ICCC 2018
    EditorsFrancois Pachet, Anna Jordanous, Carlos Leon
    PublisherAssociation for Computational Creativity (ACC)
    Pages169-176
    Number of pages8
    ISBN (Electronic)9789895416004
    StatePublished - 2018
    Event9th International Conference on Computational Creativity, ICCC 2018 - Salamanca, Spain
    Duration: Jun 25 2018Jun 29 2018

    Publication series

    NameProceedings of the 9th International Conference on Computational Creativity, ICCC 2018

    Conference

    Conference9th International Conference on Computational Creativity, ICCC 2018
    CountrySpain
    CitySalamanca
    Period6/25/186/29/18

    ASJC Scopus subject areas

    • Computational Theory and Mathematics

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