首页> 外文期刊>Displays >Use of physiological signals to predict cybersickness
【24h】

Use of physiological signals to predict cybersickness

机译:使用生理信号预测晕车

获取原文
获取原文并翻译 | 示例
           

摘要

Cybersickness is a common and unpleasant side effect of virtual reality immersion. We measured physiological changes that were experienced by seated subjects who interacted with a virtual environment (VE) first while viewing a display monitor and second while using a head-mounted display (HMD). Comparing results for these two conditions let us identify physiological consequences of HMD use. In both viewing conditions, subjects rated the severity of their symptoms verbally and completed a post-immersion cybersickness assessment questionnaire. In the HMD viewing condition but not in the display monitor condition, verbal reports of cybersickness severity increased significantly relative to baseline. Half of the subjects chose to exit the VE after six minutes of HMD use and reported feeling some nausea at that time. We found that changes in stomach activity, blinking, and breathing can be used to estimate post-immersion symptom scores, with R2 values reaching as high as 0.75. These results suggest that HMD use by seated subjects is strongly correlated with the development of cybersickness. Finally, a linear discriminant analysis shows that physiological measures alone can be used to classify subject data as belonging to the HMD or monitor viewing condition with an accuracy of 78%.
机译:晕车病是虚拟现实沉浸的常见且令人不快的副作用。我们测量了坐着的受试者经历的生理变化,这些受试者首先在查看显示器时与虚拟环境(VE)互动,然后在使用头戴式显示器(HMD)时与虚拟环境互动。比较这两种情况的结果,我们可以确定使用HMD的生理后果。在两种观察条件下,受试者均以口头方式评估其症状的严重程度,并完成了沉浸后电子病评估问卷。在HMD观看条件下,但在显示器监控条件下则没有,相对于基线,口头疾病严重程度的口头报告显着增加。使用HMD六分钟后,一半的受试者选择退出VE,并报告当时感到有些恶心。我们发现,胃部活动,眨眼和呼吸的变化可用于估计浸泡后症状评分,R2值高达0.75。这些结果表明,就座受试者对HMD的使用与网络疾病的发展密切相关。最后,线性判别分析表明,单独的生理测量可用于将受试者数据归类为HMD或以78%的精度监控观看条件。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号