Player Type Models: Towards Empirical Validation

Marc Busch (Vortragende:r), Elke Mattheiss, Rita Orji, Peter Fröhlich, Michael Lankes, Manfred Tscheligi

Publikation: Beitrag in Buch oder TagungsbandBeitrag in Tagungsband mit PosterpräsentationBegutachtung


Player type models -- such as the BrainHex model -- are popular approaches for personalizing digital games towards individual preferences of players. Although several player type models have been developed and are currently used in game design projects, there is still a lack of data on their validity. To close this research gap we currently investigate the psychometric properties (factor structure, reliability, stability) and predictive validity (if player type scores can predict player experience) of the player type model BrainHex in an ongoing project. Results of two online studies (n1=592, n2=243) show that the psychometric properties of the BrainHex model could be improved. We suggest to improve the according questionnaire and sketch how the predictive validity could be investigated in future studies.
TitelCHI EA '16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems
PublikationsstatusVeröffentlicht - 2016
VeranstaltungCHI 2016 - Conference on Human Factors in Computing Systems -
Dauer: 7 Mai 201612 Mai 2016


KonferenzCHI 2016 - Conference on Human Factors in Computing Systems

Research Field

  • Ehemaliges Research Field - Technology Experience


  • Player type models; games; personalization


Untersuchen Sie die Forschungsthemen von „Player Type Models: Towards Empirical Validation“. Zusammen bilden sie einen einzigartigen Fingerprint.

Diese Publikation zitieren