Measuring Reduction Methods for VR Sickness in Virtual Environments

Q3 Social Sciences
Takuro Magaki, M. Vallance
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引用次数: 8

Abstract

Recently,virtualreality(VR)technologieshavedevelopedremarkably.However,someusershave negativesymptomsduringVRexperiencesorpost-experiences.Consequently,alleviatingVRsickness isamajorchallenge,butaneffectivereductionmethodhasnotyetbeendiscovered.Thepurposeof thisarticleistocompareandevaluateVRsicknessintwovirtualenvironments(VE).Currentknown methodsofreducingVRsicknesswereimplemented.TomeasureVRsicknessavalidatedsimulator sicknessquestionnaire(SSQ)wasundertakenbythesubjects(n=21).Inaddition,subjectsworea customizedbiologicalsensorinordertoevaluatetheirphysiologicaldatabymeasuringresponsesin threekindsofnaturalstatesandtwokindsofVRexperiencestates.Thisquantitativedata,asobjective evaluationsaccordingtothebiologicalresponses,isanalyzedandconsideredalongsidesubjective qualitativeevaluationsaccordingtotheSSQ.Theoutcomesandlimitationsofthereductionmethods anddatacollectionarediscussed. KEywoRdS Anxiety, Biological Response, Reducing Method, Virtual Reality, VR Sickness
虚拟环境中VR疾病的测量减少方法
最近,virtualreality(VR)technologieshavedevelopedremarkably。However,someusershave negativesymptomsduringVRexperiencesorpost-experiences。Consequently,alleviatingVRsickness isamajorchallenge,butaneffectivereductionmethodhasnotyetbeendiscovered。Thepurposeof thisarticleistocompareandevaluateVRsicknessintwovirtualenvironments(VE)。Currentknown methodsofreducingVRsicknesswereimplemented。TomeasureVRsicknessavalidatedsimulator sicknessquestionnaire(SSQ)wasundertakenbythesubjects(n=21)。Inaddition,subjectsworea customizedbiologicalsensorinordertoevaluatetheirphysiologicaldatabymeasuringresponsesin threekindsofnaturalstatesandtwokindsofVRexperiencestates。Thisquantitativedata,asobjective evaluationsaccordingtothebiologicalresponses,isanalyzedandconsideredalongsidesubjective qualitativeevaluationsaccordingtotheSSQ。Theoutcomesandlimitationsofthereductionmethods anddatacollectionarediscussed。关键词焦虑,生物反应,减轻方法,虚拟现实,VR疾病
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
39
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