A Game-based Corpus for Analysing the Interplay between Game Context and Player Experience

Noor Shaker, Georgios N. Yannakakis, Stylianos Asteriadis, Kostas Karpouzis

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

    Abstract

    Recognizing players' aective state while playing video games
    has been the focus of many recent research studies. In this paper we describe
    the process that has been followed to build a corpus based on
    game events and recorded video sessions from human players while playing
    Super Mario Bros. We present dierent types of information that
    have been extracted from game context, player preferences and perception
    of the game, as well as user features, automatically extracted from
    video recordings.We run a number of initial experiments to analyse players'
    behavior while playing video games as a case study of the possible
    use of the corpus.
    Original languageEnglish
    Title of host publicationACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction
    Number of pages10
    VolumeII
    PublisherSpringer
    Publication date2011
    Pages547-556
    ISBN (Print)978-3-642-24570-1
    Publication statusPublished - 2011

    Keywords

    • Affective state recognition
    • Video games
    • Game events
    • Player behavior
    • Corpus analysis

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