Modeling Routinization in Games: An Information Theory Approach

Simon Wallner, Martin Pichlmair, Michael Hecher, Michael Wimmer

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


Routinization is the result of practicing until an action stops being a goal-directed process. This paper formulates a definition of routinization in games based on prior research in the fields of activity theory and practice theory. Routinization is analyzed using the formal model of discrete-time, discrete-space Markov chains and information theory to measure the actual error between the dynamically trained models and the player interaction. Preliminary research supports the hypothesis that Markov chains can be effectively used to model routinization in games. A full study design is presented to further explore and verify this hypothesis.
Original languageEnglish
Title of host publicationProceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play : CHI PLAY '15
Number of pages6
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery
Publication date2015
ISBN (Print)978-1-4503-3466-2
Publication statusPublished - 2015


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