Clinical predictors of cybersickness in virtual reality (VR) among highly stressed people
Abstract The use of virtual reality (VR) in the treatment of psychiatric disorders is increasing, and cybersickness has emerged as an important obstacle to overcome. However, the clinical factors affecting cybersickness are still not well understood. In this study, we investigated clinical predictor...
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2021-06-01
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doaj-7d5150f040f04ab0a0a716b81dd390a32021-06-13T11:42:11ZengNature Publishing GroupScientific Reports2045-23222021-06-0111111110.1038/s41598-021-91573-wClinical predictors of cybersickness in virtual reality (VR) among highly stressed peopleHyewon Kim0Dong Jun Kim1Won Ho Chung2Kyung-Ah Park3James D. K. Kim4Dowan Kim5Kiwon Kim6Hong Jin Jeon7Department of Psychiatry, Hanyang University Medical CenterDepartment of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of MedicineDepartment of Otorhinolaryngology, Samsung Medical Center, Sungkyunkwan University School of MedicineDepartment of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of MedicineAR Lab, Samsung Research, Samsung Electronics Co., Ltd.Advanced Solution Team, Samsung Research, Samsung Electronics Co., Ltd.Department of Psychiatry, Kangdong Sacred Heart Hospital, Hallym University College of MedicineDepartment of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of MedicineAbstract The use of virtual reality (VR) in the treatment of psychiatric disorders is increasing, and cybersickness has emerged as an important obstacle to overcome. However, the clinical factors affecting cybersickness are still not well understood. In this study, we investigated clinical predictors and adaptation effect of cybersickness during VR application in highly stressed people. Eighty-three healthy adult participants with high stress level were recruited. At baseline, we conducted psychiatric, ophthalmologic, and otologic evaluations and extracted physiological parameters. We divided the participants into two groups according to the order of exposure to VR videos with different degrees of shaking and repetitively administered the Simulator Sickness Questionnaire (SSQ) and the Fast Motion sickness Scale (FMS). There was no significant difference in changes in the SSQ or the FMS between groups. The 40–59 years age group showed a greater increase in FMS compared to the 19–39 years age group. Smoking was negatively associated with cybersickness, and a high Positive Affect and Negative Affect Schedule score was positively associated with cybersickness. In conclusion, changing the intensity of shaking in VR did not affect cybersickness. While smoking was a protective factor, more expression of affect was a risk factor for cybersickness.https://doi.org/10.1038/s41598-021-91573-w |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hyewon Kim Dong Jun Kim Won Ho Chung Kyung-Ah Park James D. K. Kim Dowan Kim Kiwon Kim Hong Jin Jeon |
spellingShingle |
Hyewon Kim Dong Jun Kim Won Ho Chung Kyung-Ah Park James D. K. Kim Dowan Kim Kiwon Kim Hong Jin Jeon Clinical predictors of cybersickness in virtual reality (VR) among highly stressed people Scientific Reports |
author_facet |
Hyewon Kim Dong Jun Kim Won Ho Chung Kyung-Ah Park James D. K. Kim Dowan Kim Kiwon Kim Hong Jin Jeon |
author_sort |
Hyewon Kim |
title |
Clinical predictors of cybersickness in virtual reality (VR) among highly stressed people |
title_short |
Clinical predictors of cybersickness in virtual reality (VR) among highly stressed people |
title_full |
Clinical predictors of cybersickness in virtual reality (VR) among highly stressed people |
title_fullStr |
Clinical predictors of cybersickness in virtual reality (VR) among highly stressed people |
title_full_unstemmed |
Clinical predictors of cybersickness in virtual reality (VR) among highly stressed people |
title_sort |
clinical predictors of cybersickness in virtual reality (vr) among highly stressed people |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-06-01 |
description |
Abstract The use of virtual reality (VR) in the treatment of psychiatric disorders is increasing, and cybersickness has emerged as an important obstacle to overcome. However, the clinical factors affecting cybersickness are still not well understood. In this study, we investigated clinical predictors and adaptation effect of cybersickness during VR application in highly stressed people. Eighty-three healthy adult participants with high stress level were recruited. At baseline, we conducted psychiatric, ophthalmologic, and otologic evaluations and extracted physiological parameters. We divided the participants into two groups according to the order of exposure to VR videos with different degrees of shaking and repetitively administered the Simulator Sickness Questionnaire (SSQ) and the Fast Motion sickness Scale (FMS). There was no significant difference in changes in the SSQ or the FMS between groups. The 40–59 years age group showed a greater increase in FMS compared to the 19–39 years age group. Smoking was negatively associated with cybersickness, and a high Positive Affect and Negative Affect Schedule score was positively associated with cybersickness. In conclusion, changing the intensity of shaking in VR did not affect cybersickness. While smoking was a protective factor, more expression of affect was a risk factor for cybersickness. |
url |
https://doi.org/10.1038/s41598-021-91573-w |
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