Simon Wallner, Martin Pichlmair, Michael Hecher, Michael WimmerORCID iD
Modeling Routinization in Games: An Information Theory Approach
In Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, pages 727-732. 2015.
[Extended Abstract] [Poster]

Information

  • Publication Type: Conference Paper
  • Workgroup(s)/Project(s):
  • Date: 2015
  • ISBN: 978-1-4503-3466-2
  • Series: CHI PLAY
  • Publisher: ACM
  • Location: London, United Kingdom
  • Booktitle: Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play
  • Conference date: 5. October 2015 – 7. October 2015
  • Pages: 727 – 732
  • Keywords: Games, Routinization, Markov Chains, Information Theory

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.

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BibTeX

@inproceedings{wallner-2015-ModelingRoutinization,
  title =      "Modeling Routinization in Games: An Information Theory
               Approach",
  author =     "Simon Wallner and Martin Pichlmair and Michael Hecher and
               Michael Wimmer",
  year =       "2015",
  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.",
  isbn =       "978-1-4503-3466-2",
  series =     "CHI PLAY ",
  publisher =  "ACM",
  location =   "London, United Kingdom",
  booktitle =  "Proceedings of the 2015 Annual Symposium on Computer-Human
               Interaction in Play",
  pages =      "727--732",
  keywords =   "Games, Routinization, Markov Chains, Information Theory",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/",
}