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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Hyewon Kim, Dong Jun Kim, Won Ho Chung, Kyung-Ah Park, James D. K. Kim, Dowan Kim, Kiwon Kim, Hong Jin Jeon
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7d5150f040f04ab0a0a716b81dd390a3
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:7d5150f040f04ab0a0a716b81dd390a3
record_format	dspace
spelling	oai:doaj.org-article:7d5150f040f04ab0a0a716b81dd390a32021-12-02T15:03:07ZClinical predictors of cybersickness in virtual reality (VR) among highly stressed people10.1038/s41598-021-91573-w2045-2322https://doaj.org/article/7d5150f040f04ab0a0a716b81dd390a32021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91573-whttps://doaj.org/toc/2045-2322Abstract 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.Hyewon KimDong Jun KimWon Ho ChungKyung-Ah ParkJames D. K. KimDowan KimKiwon KimHong Jin JeonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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
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.
format	article
author	Hyewon Kim Dong Jun Kim Won Ho Chung Kyung-Ah Park James D. K. Kim Dowan Kim Kiwon Kim Hong Jin Jeon
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 Portfolio
publishDate	2021
url	https://doaj.org/article/7d5150f040f04ab0a0a716b81dd390a3
work_keys_str_mv	AT hyewonkim clinicalpredictorsofcybersicknessinvirtualrealityvramonghighlystressedpeople AT dongjunkim clinicalpredictorsofcybersicknessinvirtualrealityvramonghighlystressedpeople AT wonhochung clinicalpredictorsofcybersicknessinvirtualrealityvramonghighlystressedpeople AT kyungahpark clinicalpredictorsofcybersicknessinvirtualrealityvramonghighlystressedpeople AT jamesdkkim clinicalpredictorsofcybersicknessinvirtualrealityvramonghighlystressedpeople AT dowankim clinicalpredictorsofcybersicknessinvirtualrealityvramonghighlystressedpeople AT kiwonkim clinicalpredictorsofcybersicknessinvirtualrealityvramonghighlystressedpeople AT hongjinjeon clinicalpredictorsofcybersicknessinvirtualrealityvramonghighlystressedpeople
_version_	1718389085916102656

Clinical predictors of cybersickness in virtual reality (VR) among highly stressed people

Ejemplares similares