Developing a user-centric taxonomy of games using repertory grid analysis

Aehong Min, Hyejung Lee, Jungwoo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In general, game users (or players) recognize and classify games based on their own experience rather than the genre of game itself. The objective of this study is to identify the attributes of game based on user's perspectives, paying attention to understanding of game users and the diversification of game genres. To find those attributes, we conduct in-depth interview with twenty-two game users by using the Repertory Grid technique, which is a qualitative research method drawing personal cognitive constructs. As a result, we get to propose a new user-centric taxonomy of games, which includes general elements of games such as space, time, player structure, player relation, character, item in game, and user-based elements such as user's past experience, capacity, ownership and presentation. A meaningful implication of this study is that we can find cognitive attributes of games, which are elicited from game users without using general framework of game genre and elements. Also, the user-centric taxonomy of games is organized based on user's perspective and theoretical basis. We conclude that this taxonomy will contribute future game design and development to reflect users' perspectives, which is important to provide more user-centric games.

Original languageEnglish
Title of host publicationAdvances in Digital Technologies - Proceedings of the 6th International Conference on Applications of Digital Information and Web Technologies 2015
EditorsSimon Fong, Jolanta Mizera-Pietraszko
PublisherIOS Press
Pages68-75
Number of pages8
ISBN (Electronic)9781614995029
DOIs
Publication statusPublished - 2015
Event6th International Conference on Applications of Digital Information and Web Technologies, ICADIWT 2015 - Macau, Macao
Duration: 2015 Feb 12 → …

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume275
ISSN (Print)0922-6389

Other

Other6th International Conference on Applications of Digital Information and Web Technologies, ICADIWT 2015
Country/TerritoryMacao
CityMacau
Period15/2/12 → …

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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