Journal
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
Volume 26, Issue 6, Pages 2469-2480Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JBHI.2021.3134024
Keywords
Task analysis; Electroencephalography; Temperature sensors; Physiology; Forehead; Bioinformatics; Frequency modulation; Virtual reality; cybersickness; multimodal sensing; cognitive control ability; vestibular network
Categories
Funding
- European Research Council (ERC) through the European Union [835197]
- National Natural Science Foundation of China [61901264]
- European Research Council (ERC) [835197] Funding Source: European Research Council (ERC)
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This study investigates the detection of cybersickness in virtual reality (VR) and finds that it impairs cognitive control ability. The study also reveals the involvement of the human vestibular network in cybersickness.
Virtual reality (VR) has the potential to induce cybersickness (CS), which impedes CS-susceptible VR users from the benefit of emerging VR applications. To better detect CS, the current study investigated whether/how the newly proposed human vestibular network (HVN) is involved in flagship consumer VR-induced CS by simultaneously recording autonomic physiological signals as well as neural signals generated in sensorimotor and cognitive domains. The VR stimuli were made up of one or two moderate CS-inducing entertaining task(s) as well as a mild CS-inducing cognitive task implemented before and after the moderate CS task(s). Results not only showed that CS impaired cognitive control ability, represented by the degree of attentional engagement, but also revealed that combined indicators from all three HVN domains could together establish the best regression relationship with CS ratings. More importantly, we found that every HVN domain had its unique advantage with the dynamic changes in CS severity and time. These results provide evidence for involvement of the HVN in CS and indicate the necessity of HVN-based CS detection.
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