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A Framework and Taxonomy of Videogame Playing Preferences

Gustavo Fortes Tondello, Rina Wehbe, Rita Orji, Giovanni Ribeiro, and Lennart Nacke. 2017. A Framework and Taxonomy of Videogame Playing Preferences. In Proceedings of the 2017 Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '17. Amsterdam, Netherlands. ACM, 329-340 . doi:10.1145/3116595.3116629

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@inproceedings{Tondello2017d,
abstract = {Player preferences for different gaming styles or game elements has been a topic of interest in human-computer interaction for over a decade. However, current models suggested by the extant literature are generally based on classifying abstract gaming motivations or player archetypes. These concepts do not directly map onto the building blocks of games, taking away from the utility of the findings. To address this issue, we propose a conceptual framework of player preferences based on two dimensions: game elements and game playing styles. To investigate these two concepts, we conducted an exploratory empirical investigation of player preferences, which allowed us to create a taxonomy of nine groups of game elements and five groups of game playing styles. These two concepts are foundational to games, which means that our model can be used by designers to create games that are tailored to their target audience. In addition, we demonstrate that there are significant effects of gender and age on participants' preferences and discuss the implications of these findings.},
address = {Amsterdam, Netherlands},
author = {Tondello, Gustavo F. and Wehbe, Rina R. and Orji, Rita and Ribeiro, Giovanni and Nacke, Lennart E.},
booktitle = {Proceedings of the 2017 Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '17},
doi = {10.1145/3116595.3116629},
isbn = {9781450348980},
keywords = {Game Elements,Games User Research,Player Types},
publisher = {ACM},
title = {{A Framework and Taxonomy of Videogame Playing Preferences}},
year = {2017}
}

Abstract

Player preferences for different gaming styles or game elements has been a topic of interest in human-computer interaction for over a decade. However, current models suggested by the extant literature are generally based on classifying abstract gaming motivations or player archetypes. These concepts do not directly map onto the building blocks of games, taking away from the utility of the findings. To address this issue, we propose a conceptual framework of player preferences based on two dimensions: game elements and game playing styles. To investigate these two concepts, we conducted an exploratory empirical investigation of player preferences, which allowed us to create a taxonomy of nine groups of game elements and five groups of game playing styles. These two concepts are foundational to games, which means that our model can be used by designers to create games that are tailored to their target audience. In addition, we demonstrate that there are significant effects of gender and age on participants’ preferences and discuss the implications of these findings.