Modeling Routinization in Games: An Information Theory Approach

Simon Wallner; Martin Pichlmair; Michael Hecher; Michael Wimmer

doi:10.1145/2793107.2810286

Modeling Routinization in Games: An Information Theory Approach

Simon Wallner, Martin Pichlmair, Michael Hecher, Michael Wimmer

Digital Design

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-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.

Original language	English
Title of host publication	Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play : CHI PLAY '15
Number of pages	6
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery
Publication date	2015
Pages	727-732
ISBN (Print)	978-1-4503-3466-2
DOIs	https://doi.org/10.1145/2793107.2810286
Publication status	Published - 2015

Keywords

games, information theory, markov chains, routinization

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10.1145/2793107.2810286

http://doi.acm.org/10.1145/2793107.2810286

Cite this

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title = "Modeling Routinization in Games: An Information Theory Approach",

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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language = "English",

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publisher = "Association for Computing Machinery",

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Modeling Routinization in Games: An Information Theory Approach. / Wallner, Simon; Pichlmair, Martin; Hecher, Michael et al.
Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play: CHI PLAY '15. New York, NY, USA: Association for Computing Machinery, 2015. p. 727-732.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - Modeling Routinization in Games: An Information Theory Approach

AU - Wallner, Simon

AU - Pichlmair, Martin

AU - Hecher, Michael

AU - Wimmer, Michael

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - games, information theory, markov chains, routinization

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DO - 10.1145/2793107.2810286

M3 - Article in proceedings

SN - 978-1-4503-3466-2

SP - 727

EP - 732

BT - Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play

PB - Association for Computing Machinery

CY - New York, NY, USA

ER -

Modeling Routinization in Games: An Information Theory Approach

Abstract

Keywords

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