在学术研究中一致的游戏技能统计

IF 0.2 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS IADIS-International Journal on Computer Science and Information Systems Pub Date : 2022-12-09 DOI:10.33965/ijcsis_2022170202
Elizabeth A. Matthews, I. Koleva, Sujan Basnet
{"title":"在学术研究中一致的游戏技能统计","authors":"Elizabeth A. Matthews, I. Koleva, Sujan Basnet","doi":"10.33965/ijcsis_2022170202","DOIUrl":null,"url":null,"abstract":"Video games are a popular topic in academia, encompassing many research subtopics. Often researchers investigating video game subjects partition the participants by the participant’s familiarity with video games. Unlike other demographic categories on which research subjects are divided, such as age range or income, sorting participants into gamer skill categories, such as “Expert Gamer”, has no objective consensus on what the labels should be. The inconsistency in terminology makes comparison between research works impossible. Hours per week is often a standard but does not provide statistical significance with many factors and is not as objective as it may seem. This paper highlights this problem, collects demographic questions in existing research, and showcases the data collected from a user study with these questions. The results show that self-chosen categories are a statistically significant metric and is recommended as an easy-to-obtain value.","PeriodicalId":41878,"journal":{"name":"IADIS-International Journal on Computer Science and Information Systems","volume":"291 1","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CONSISTENT GAMING SKILL DEMOGRAPHICS IN ACADEMIC RESEARCH\",\"authors\":\"Elizabeth A. Matthews, I. Koleva, Sujan Basnet\",\"doi\":\"10.33965/ijcsis_2022170202\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Video games are a popular topic in academia, encompassing many research subtopics. Often researchers investigating video game subjects partition the participants by the participant’s familiarity with video games. Unlike other demographic categories on which research subjects are divided, such as age range or income, sorting participants into gamer skill categories, such as “Expert Gamer”, has no objective consensus on what the labels should be. The inconsistency in terminology makes comparison between research works impossible. Hours per week is often a standard but does not provide statistical significance with many factors and is not as objective as it may seem. This paper highlights this problem, collects demographic questions in existing research, and showcases the data collected from a user study with these questions. The results show that self-chosen categories are a statistically significant metric and is recommended as an easy-to-obtain value.\",\"PeriodicalId\":41878,\"journal\":{\"name\":\"IADIS-International Journal on Computer Science and Information Systems\",\"volume\":\"291 1\",\"pages\":\"\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IADIS-International Journal on Computer Science and Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33965/ijcsis_2022170202\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IADIS-International Journal on Computer Science and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33965/ijcsis_2022170202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

电子游戏是学术界的热门话题,包含许多研究子主题。通常,调查电子游戏的研究人员会根据参与者对电子游戏的熟悉程度来划分参与者。与其他将研究对象划分为人口统计学类别(如年龄范围或收入)不同,将参与者划分为玩家技能类别(如“专家级玩家”),对于标签应该是什么并没有客观的共识。术语的不一致使研究工作之间无法进行比较。每周工作时间通常是一个标准,但并没有提供许多因素的统计意义,也不像看起来那么客观。本文强调了这个问题,收集了现有研究中的人口统计问题,并展示了从这些问题的用户研究中收集的数据。结果表明,自我选择的类别是一个统计上显著的度量,并推荐作为一个易于获得的值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
CONSISTENT GAMING SKILL DEMOGRAPHICS IN ACADEMIC RESEARCH
Video games are a popular topic in academia, encompassing many research subtopics. Often researchers investigating video game subjects partition the participants by the participant’s familiarity with video games. Unlike other demographic categories on which research subjects are divided, such as age range or income, sorting participants into gamer skill categories, such as “Expert Gamer”, has no objective consensus on what the labels should be. The inconsistency in terminology makes comparison between research works impossible. Hours per week is often a standard but does not provide statistical significance with many factors and is not as objective as it may seem. This paper highlights this problem, collects demographic questions in existing research, and showcases the data collected from a user study with these questions. The results show that self-chosen categories are a statistically significant metric and is recommended as an easy-to-obtain value.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IADIS-International Journal on Computer Science and Information Systems
IADIS-International Journal on Computer Science and Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
自引率
0.00%
发文量
0
期刊最新文献
ESTIMATION OF VARIOUS HUMAN EMOTIONS USING LIGHTWEIGHT FNIRS DEVICE CONSISTENT GAMING SKILL DEMOGRAPHICS IN ACADEMIC RESEARCH STATE OF GENDER EQUALITY IN AND BY ARTIFICIAL INTELLIGENCE A HYBRID DILATION APPROACH FOR REMOTE SENSING SCENE IMAGE CLASSIFICATION CLINICAL PATHWAYS AND THE NEED FOR SYSTEM INTEGRATION
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1