Understanding of User’s Gameplay Behaviour and Perception Styles in an Environment of Digital Gesture-Based Game

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.