Individual variation in susceptibility to cybersickness

Lisa Rebenitsch, C. Owen
{"title":"Individual variation in susceptibility to cybersickness","authors":"Lisa Rebenitsch, C. Owen","doi":"10.1145/2642918.2647394","DOIUrl":null,"url":null,"abstract":"We examined background characteristics of virtual reality participants in order to determine correlations to cybersickness. As 3D media and new VR display technologies from companies such as Occulus and Sony become more popular, the incidence of cybersickness is likely to increase. Understanding the impact of individual backgrounds on susceptibility can help shed light on which individuals are more likely to be impacted. Past history of motion sickness and video game play have the best predictive power of cybersickness of the factors studied. A model to estimate the likelihood of cybersickness using background characteristics is posed.","PeriodicalId":20543,"journal":{"name":"Proceedings of the 27th annual ACM symposium on User interface software and technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"82","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 27th annual ACM symposium on User interface software and technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2642918.2647394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 82

Abstract

We examined background characteristics of virtual reality participants in order to determine correlations to cybersickness. As 3D media and new VR display technologies from companies such as Occulus and Sony become more popular, the incidence of cybersickness is likely to increase. Understanding the impact of individual backgrounds on susceptibility can help shed light on which individuals are more likely to be impacted. Past history of motion sickness and video game play have the best predictive power of cybersickness of the factors studied. A model to estimate the likelihood of cybersickness using background characteristics is posed.
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
晕屏病易感性的个体差异
我们检查了虚拟现实参与者的背景特征,以确定与晕屏病的相关性。随着Occulus和索尼等公司的3D媒体和新的VR显示技术越来越受欢迎,晕屏的发病率可能会增加。了解个体背景对易感性的影响有助于揭示哪些个体更容易受到影响。在研究的因素中,过去的晕动病史和玩电子游戏的情况对晕动病有最好的预测能力。提出了一个利用背景特征来估计晕动病可能性的模型。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Designer's augmented reality toolkit, ten years later: implications for new media authoring tools Tag system with low-powered tag and depth sensing camera In-air gestures around unmodified mobile devices CommandSpace: modeling the relationships between tasks, descriptions and features WirePrint: 3D printed previews for fast prototyping
×
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