Modeling Routinization in Games: An Information Theory Approach

Simon Wallner, Martin Pichlmair, Michael Hecher, Michael Wimmer

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstract

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.
OriginalsprogEngelsk
TitelProceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play : CHI PLAY '15
Antal sider6
UdgivelsesstedNew York, NY, USA
ForlagAssociation for Computing Machinery
Publikationsdato2015
Sider727-732
ISBN (Trykt)978-1-4503-3466-2
DOI
StatusUdgivet - 2015

Emneord

  • games, information theory, markov chains, routinization

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