Understanding of user’s gameplay behaviour and perception styles in an environment of digital gesture-based game

Hamdan Gani, Kiyoshi Tomimatsu

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

Abstract

A growing number of game studies has shown that the understanding of user’s gameplay behaviour and learning styles can improve the implementation of computer games and can enhance the positive outcomes of user’s learning experience. Furthermore, knowing user’s gameplay behaviour and learning styles in a game environment is a challenge. While several approaches were taken to identify user’s behaviour have been proposed, these approaches only showed the implementation in general digital computer games and are not shown to identify user’s behaviour in an environment of digital gesture-based game. Moreover, research also shows that few studies have investigated user’s learning styles using game-based approach, specifically, in an environment of digital gesture-based game. Thus, it is essential to provide a new alternative source to identify user’s gameplay behaviour and user’s learning styles to enhance positive outcomes on user’s learning experience and improve the process of learning using computer games. To meet these claims, the goal of this study is to investigate the possibility of identifying user’s gameplay behaviour and user’s learning style in an environment of digital gesture-based game. This study presents a Granular Linguistic Model of a Phenomenon (GLMP) technique to identify user’s gameplay behaviour and learning styles. Experimental results showed that environment of digital gesture-based game is a potential and alternative source that offers a new perspective into identifying and understanding of user’s gameplay behaviour and learning style.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Kansei Engineering and Emotion Research, 2018
EditorsShinichi Koyama, Toshimasa Yamanaka, Pierre Levy, Anitawati Mohd Lokman, Kuohsiang Chen
PublisherSpringer Verlag
Pages487-497
Number of pages11
ISBN (Print)9789811086113
DOIs
Publication statusPublished - Jan 1 2018
Event7th International Conference on Kansei Engineering and Emotion Research, KEER 2018 - Kuching, Malaysia
Duration: Mar 19 2018Mar 22 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume739
ISSN (Print)2194-5357

Other

Other7th International Conference on Kansei Engineering and Emotion Research, KEER 2018
CountryMalaysia
CityKuching
Period3/19/183/22/18

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Understanding of user’s gameplay behaviour and perception styles in an environment of digital gesture-based game'. Together they form a unique fingerprint.

Cite this