Introducing a Revised Lexical Approach to Study User Experience in Game Play by Analyzing Online Reviews

Miaoqi Zhu, Xiaowen Fang
{"title":"Introducing a Revised Lexical Approach to Study User Experience in Game Play by Analyzing Online Reviews","authors":"Miaoqi Zhu, Xiaowen Fang","doi":"10.1145/2677758.2677760","DOIUrl":null,"url":null,"abstract":"This paper proposes a revised lexical approach to understand user experience in game play by analyzing online game reviews. The lexical approach is originally used by psychologists to study personality traits [1]. We argue that game players have used natural languages to describe computer games and their experiences over time, and that the most important characteristics of game play experience would be reflected in player language. Therefore, user experience during game play can be studied by examining the vocabularies used by players in online reviews. Based on 696,801 reviews downloaded from three major game websites, the lexical approach was adapted to analyze textual content pertaining to computer games. Six major factors (playability, creativity, usability, competition, sensation, and strategy) were identified and ranked. While playability, creativity, and usability suggest how to measure success of a game, competition, sensation, and strategy provide three effective stimuli to game enjoyment. The implications of the revised lexical approach and findings from this study were discussed.","PeriodicalId":444510,"journal":{"name":"Proceedings of the 2014 Conference on Interactive Entertainment","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 Conference on Interactive Entertainment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2677758.2677760","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

This paper proposes a revised lexical approach to understand user experience in game play by analyzing online game reviews. The lexical approach is originally used by psychologists to study personality traits [1]. We argue that game players have used natural languages to describe computer games and their experiences over time, and that the most important characteristics of game play experience would be reflected in player language. Therefore, user experience during game play can be studied by examining the vocabularies used by players in online reviews. Based on 696,801 reviews downloaded from three major game websites, the lexical approach was adapted to analyze textual content pertaining to computer games. Six major factors (playability, creativity, usability, competition, sensation, and strategy) were identified and ranked. While playability, creativity, and usability suggest how to measure success of a game, competition, sensation, and strategy provide three effective stimuli to game enjoyment. The implications of the revised lexical approach and findings from this study were discussed.
引入一种修正的词汇方法,通过分析在线评论来研究游戏中的用户体验
本文提出了一种改进的词汇方法,通过分析在线游戏评论来理解游戏中的用户体验。词汇法最初是由心理学家用来研究人格特征的[1]。我们认为,随着时间的推移,游戏玩家使用自然语言来描述电脑游戏和他们的体验,游戏体验的最重要特征将反映在玩家的语言中。因此,可以通过检查玩家在在线评论中使用的词汇来研究游戏过程中的用户体验。基于从三个主要游戏网站下载的696,801条评论,我们采用了词法方法来分析与电脑游戏相关的文本内容。六个主要因素(可玩性、创造性、可用性、竞争、感觉和策略)被确定并排名。可玩性、创造性和可用性是衡量游戏成功与否的标准,而竞争、感觉和策略则是游戏乐趣的三种有效刺激。讨论了修订后的词汇方法的意义和本研究的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信