engleski

FURTHER DIFFERENTIATING FACTORS OF GAMERS' HEXAD PLAYER TYPES

The contemporary economic weight of online gaming and present approaches of gamified system-personalization attract focused academic interest, to which the present paper aims to contribute with further insights in terms of the Hexad player type scale components. Previous study results regarding their relationship with gender and age will be discussed. Furthermore, participants' gaming behavior in terms of time spent with gaming-related activities, such as multiplayer gaming, solo gaming, communication with other gamers in public/private chats or forums, watching uploaded let's play's/gaming-related videos/previously recorded live streams, and reading gaming-related news, posts, discussions etc., will be explored. The paper uses evaluation techniques, such as Cronbach's Alpha, Kendall's tau-b, one-way ANOVA, Kruskal-Wallis H tests, Jonckheere-Terpstra tests, and interprets effect sizes with partial eta squared (η2). Significant differences between the Hexad player types and operationalized age groups were found exclusively in the case of »Player« type. Independent samples t-test results showed no significant differences between user types and gender. There were, however, significant differences and observable, significant, positive, monotonic trends between player types and time spent with multiplayer gaming, as well as communication with other gamers in public/private chats or forums, and likewise in the case of time spent with reading gaming-related news, posts, discussions. Our results indicate the necessity of further investigation regarding differentiating factors in player types for the further optimization of gamified systems and offer insights for actors of the gaming industry in tackling obstacles in application and game development.

Gamification, Gaming, Hexad, Player type

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