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Postural stability predicts the likelihood of cybersickness in active HMD-based virtual reality
- Source :
- Displays. 58:3-11
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Cybersickness is common during virtual reality experiences with head-mounted displays (HMDs). Previously it has been shown that individual differences in postural activity can predict which people are more likely to experience visually-induced motion sickness. This study examined whether such predictions also generalise to the cybersickness experienced during active HMD-based virtual reality. Multisensory stimulation was generated by having participants continuously turn their heads from left to right while viewing the self-motion simulations. Real-time head tracking was then used to create ecological (‘compensated’) and non-ecological (‘inversely compensated’) head-and-display motion conditions. Ten (out of 20) participants reported feeling sick after being exposed to these self-motion simulations. Cybersickness did not differ significantly between the two compensation conditions. However, individual differences in spontaneous postural instability when standing quietly were found to predict the likelihood of subsequently experiencing cybersickness. These findings support recent proposals that postural measures can help diagnose who will benefit the most/least from HMD-based virtual reality.
- Subjects :
- medicine.medical_specialty
media_common.quotation_subject
Compensation (psychology)
05 social sciences
Postural instability
Virtual reality
medicine.disease
050105 experimental psychology
Motion (physics)
Human-Computer Interaction
03 medical and health sciences
0302 clinical medicine
Physical medicine and rehabilitation
Motion sickness
Multisensory stimulation
Feeling
Hardware and Architecture
Postural stability
medicine
0501 psychology and cognitive sciences
Electrical and Electronic Engineering
Psychology
030217 neurology & neurosurgery
media_common
Subjects
Details
- ISSN :
- 01419382
- Volume :
- 58
- Database :
- OpenAIRE
- Journal :
- Displays
- Accession number :
- edsair.doi...........8801156413337fbacf67d7e1434675ab