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Characteristic changes in the physiological components of cybersickness
Young Youn Kim1, Hyun Ju Kim, Eun Nam Kim
1Department of Psychology, Korea University, Seoul, Korea.
Psychophysiology
|September 24, 2005
Summary
Virtual reality exposure causes physiological changes linked to cybersickness. Increased gastric activity, eyeblink rate, and delta waves, alongside decreased beta waves, correlate with higher sickness severity.
Area of Science:
- Neuroscience
- Human-Computer Interaction
- Physiology
Background:
- Cybersickness, a form of motion sickness, affects users during virtual reality (VR) experiences.
- Understanding the physiological underpinnings of cybersickness is crucial for developing effective countermeasures.
- Previous research has explored subjective reports, but objective physiological markers require further investigation.
Purpose of the Study:
- To investigate the characteristic physiological changes associated with cybersickness during virtual reality navigation.
- To identify correlations between the severity of cybersickness and specific electrophysiological and autonomic nervous system responses.
Main Methods:
- Sixty-one participants underwent a 9.5-minute virtual navigation task in VR.
- Electrophysiological signals (16 channels) and autonomic responses were recorded before, during, and after the VR exposure.
- Questionnaires assessed sickness susceptibility, immersive tendency, and post-navigation cybersickness severity.
Main Results:
- A significant positive correlation was found between cybersickness severity and gastric tachyarrhythmia, eyeblink rate, heart period, and electroencephalogram (EEG) delta wave activity.
- A significant negative correlation was observed between cybersickness severity and EEG beta wave activity.
- These physiological changes indicate alterations in both central and autonomic nervous system activity.
Conclusions:
- Cybersickness during virtual reality navigation is accompanied by distinct patterns of central and autonomic nervous system activation.
- Objective physiological measures like EEG and heart rate variability can serve as indicators of cybersickness severity.
- These findings contribute to a deeper understanding of the neurophysiological basis of cybersickness, informing future VR design and mitigation strategies.