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首页> 外文会议>International Conference on Kansei Engineering and Emotion Research >Understanding of User's Gameplay Behaviour and Perception Styles in an Environment of Digital Gesture-Based Game
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Understanding of User's Gameplay Behaviour and Perception Styles in an Environment of Digital Gesture-Based Game

机译：了解基于数字手势的游戏环境中的用户的游戏行为和感知方式

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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.
机译：越来越多的游戏研究已经表明，用户的游戏行为和学习方式的理解可以提高电脑游戏的执行和可以增强用户的学习体验的积极成果。此外，知道用户的游戏行为和游戏环境中的学习方式是一种挑战。虽然采取了多种方法，以确定已提出用户的行为，这些方法只表现在通用数字计算机游戏的执行和不显示识别数字基于姿势的游戏的环境中用户的行为。此外，还研究表明，很少有研究使用游戏为基础的方法调查了用户的学习方式，特别是在数字基于姿势的游戏的环境。因此，有必要提供一种新的替代来源，以确定用户的游戏行为和用户的学习方式，以提高用户的学习体验积极成果，提高使用电脑游戏学习的过程。为了满足这些要求，这项研究的目的是调查识别数字基于姿势的游戏的环境中用户的游戏行为和用户的学习风格的可能性。这项研究提出了一个现象（GLMP）技术的粒度语言模型来识别用户的游戏行为和学习方式。实验结果表明，基于数字姿势的游戏的那个环境是一个潜在的和替代来源，提供了一个新的视角为识别和用户的游戏行为的理解和学习方式。

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