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Player Type Models: Towards Empirical Validation

  • Marc Busch
  • , Elke Mattheiss
  • , Rita Orji
  • , Peter Fröhlich
  • , Michael Lankes
  • , Manfred Tscheligi

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

50 Zitate (Scopus)

Abstract

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.
OriginalspracheEnglisch
TitelCHI EA 2016
Untertitel#chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
Herausgeber (Verlag)ACM Press
Seiten1835-1841
Seitenumfang7
ISBN (elektronisch)9781450340823
DOIs
PublikationsstatusVeröffentlicht - 7 Mai 2016
VeranstaltungACM Conference on Human Factors in Computing Systems (CHI 2016) - San Jose, USA/Vereinigte Staaten
Dauer: 7 Mai 201612 Mai 2016
https://chi2016.acm.org

Publikationsreihe

NameConference on Human Factors in Computing Systems - Proceedings
Band07-12-May-2016

Konferenz

KonferenzACM Conference on Human Factors in Computing Systems (CHI 2016)
Land/GebietUSA/Vereinigte Staaten
OrtSan Jose
Zeitraum07.05.201612.05.2016
Internetadresse

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