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A platform for research: civil engineering, architecture and urbanism
Using Player Type Models for Personalized Game Design – An Empirical Investigation
Personalized games should provide a better player experience than one-size-fits-all games. As a method for personalization, player type models have been discussed recently. Player type models would be useful tools in the personalization of games, if they have a relationship to the players’ experience of specific game mechanics. However, this relationship has never been empirically investigated. To close this gap, we examine whether player types—as a specific appearance of personality traits—can significantly and reliably predict player experience. We investigate the predictive power of two player types (Mastermind, Seeker) of the BrainHex player type model. Results of a field study (n = 51) with a mobile game prototype tailored to the two player types Mastermind and Seeker suggest that player type models still need improvement: Player type scores do not significantly predict player experience of according game mechanics. We discuss possible explanations and a way to design personalized games that adapt to users gaming preferences with player type models.
Using Player Type Models for Personalized Game Design – An Empirical Investigation
Personalized games should provide a better player experience than one-size-fits-all games. As a method for personalization, player type models have been discussed recently. Player type models would be useful tools in the personalization of games, if they have a relationship to the players’ experience of specific game mechanics. However, this relationship has never been empirically investigated. To close this gap, we examine whether player types—as a specific appearance of personality traits—can significantly and reliably predict player experience. We investigate the predictive power of two player types (Mastermind, Seeker) of the BrainHex player type model. Results of a field study (n = 51) with a mobile game prototype tailored to the two player types Mastermind and Seeker suggest that player type models still need improvement: Player type scores do not significantly predict player experience of according game mechanics. We discuss possible explanations and a way to design personalized games that adapt to users gaming preferences with player type models.
Using Player Type Models for Personalized Game Design – An Empirical Investigation
Marc Busch (author) / Elke Mattheiss (author) / Wolfgang Hochleitner (author) / Christina Hochleitner (author) / Michael Lankes (author) / Peter Fröhlich (author) / Rita Orji (author) / Manfred Tscheligi (author)
2016
Article (Journal)
Electronic Resource
Unknown
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