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.
|Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play : CHI PLAY '15
|New York, NY, USA
|Association for Computing Machinery
|Udgivet - 2015
- games, information theory, markov chains, routinization