Automatic Detection of Cybersickness from Physiological Signal in a Virtual Roller Coaster Simulation

Islam, Rifatul; Lee, Yonggun; Jaloli, Mehrad; Muhammad, Imtiaz; Zhu, Dakai; Quarles, John

doi:10.1109/vrw50115.2020.00175

Cited by 24 publications

(17 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, according to our results, increases of cybersickness are accompanied by a decrease in the participants’ concentration. Although we could not find any statistical significance between GSR, ECG, and cybersickness severity in this study, recent work reported that such biological information could be the feature to predict the degree of cybersickness [ 74 ]. Such kinds of regression approaches are emerging based on machine learning techniques, and then it is expected that those factors would also be considered to predict potential cybersickness severity.…”

Section: Resultscontrasting

confidence: 77%

Cybersickness and Its Severity Arising from Virtual Reality Content: A Comprehensive Study

Son

2022

Sensors

View full text Add to dashboard Cite

Virtual reality (VR) experiences often elicit a negative effect, cybersickness, which results in nausea, disorientation, and visual discomfort. To quantitatively analyze the degree of cybersickness depending on various attributes of VR content (i.e., camera movement, field of view, path length, frame reference, and controllability), we generated cybersickness reference (CYRE) content with 52 VR scenes that represent different content attributes. A protocol for cybersickness evaluation was designed to collect subjective opinions from 154 participants as reliably as possible in conjunction with objective data such as rendered VR scenes and biological signals. By investigating the data obtained through the experiment, the statistically significant relationships—the degree that the cybersickness varies with each isolated content factor—are separately identified. We showed that the cybersickness severity was highly correlated with six biological features reflecting brain activities (i.e., relative power spectral densities of Fp1 delta, Fp 1 beta, Fp2 delta, Fp2 gamma, T4 delta, and T4 beta waves) with a coefficient of determination greater than 0.9. Moreover, our experimental results show that individual characteristics (age and susceptibility) are also quantitatively associated with cybersickness level. Notably, the constructed dataset contains a number of labels (i.e., subjective cybersickness scores) that correspond to each VR scene. We used these labels to build cybersickness prediction models and obtain a reliable predictive performance. Hence, the proposed dataset is supposed to be widely applicable in general-purpose scenarios regarding cybersickness quantification.

show abstract

Section: Resultscontrasting

confidence: 77%

Cybersickness and Its Severity Arising from Virtual Reality Content: A Comprehensive Study

Son

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Furthermore, an increase in physiological data measurements should be considered as these can provide auxiliary ways to assess the neuropsychological status of a patient. In addition, it is also considered to be a helpful way to overcome cybersickness [ 108 - 110 ]. Cybersickness is a major obstacle in applying VR to older people and people who have difficulties adapting to VR because they feel dizzy.…”

Section: Discussionmentioning

confidence: 99%

Examining the Academic Trends in Neuropsychological Tests for Executive Functions Using Virtual Reality: Systematic Literature Review

Kim¹,

Han²,

Choi³

et al. 2021

JMIR Serious Games

View full text Add to dashboard Cite

Background In neuropsychology, fully immersive virtual reality (VR) has been spotlighted as a promising tool. It is considered that VR not only overcomes the existing limitation of neuropsychological tests but is also appropriate for treating executive functions (EFs) within activities of daily living (ADL) due to its high ecological validity. While fully immersive VR offers new possibilities of neuropsychological tests, there are few studies that overview the intellectual landscape and academic trends in the research related to mainly targeted EFs with fully immersive VR. Objective The objective of this study is to get an overview of the research trends that use VR in neuropsychological tests and to analyze the research trends using fully immersive VR neuropsychological tests with experimental articles. Methods This review was carried out according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Articles were searched in three web databases using keywords related to VR, EFs, and cognitive abilities. The study was conducted in two steps, keyword analysis and in-depth systematic review. In the web database search from 2000 to 2019, 1167 articles were initially collected, of which 234 articles in the eligibility phase were used to conduct keyword analysis and a total of 47 articles were included for systematic review. Results In keyword analysis, the number of articles focused on dementia including the keywords “MCI,” “SCD,” and “dementia” were highlighted over the period, rather than other symptoms. In addition, we identified that the use of behavioral and physiological data in virtual environments (VEs) has dramatically increased in recent studies. In the systematic review, we focused on the purpose of study, assessment, treatment, and validation of usability and structure. We found that treatment studies and uncategorized studies including presence and cybersickness issues have emerged in the recent period. In addition, the target symptoms and range of participants were diversified. Conclusions There has been a continuously increasing interest in dealing with neuropsychology by using fully immersive VR. Target cognitive abilities have been diversified, as well as target symptoms. Moreover, the concept of embodied cognition was transplanted in this research area.

show abstract

“…We will include a similar proportion of male and female participants to analyze potential sex differences in the sensitivity to motion sickness [11], [17]. They will be immersed in ten-minute virtual roller coaster scenarios, which are frequently used to induce and study cybersickness [18], [19]. Participants will be prompted to move their heads in all directions to explore the VR environment during the roller coaster ride, after which they will have to answer questions about visual elements of the scenes they visited.…”

Section: Seenetic Vr Effects On Cybersicknessmentioning

confidence: 99%

A new device to restore sensory congruency in virtual reality and to prevent cybersickness

Nakul

Jeannin²,

Lopez

2021

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

View full text Add to dashboard Cite

Cybersickness likely originates from contradictory sensory signals about user's motion in virtual reality. Most proposed solutions reduce visual inputs to decrease vection intensity or the sensory conflict. In contrast with this approach the Seenetic VR, inserted into the head-mounted display, adds information in the peripheral visual field congruent with self-motion signals. We present this new technology to prevent cybersickness and the research protocols to quantify its effects and contribute to a better understanding of the sensory mechanisms of cybersickness.

show abstract

Automatic Detection of Cybersickness from Physiological Signal in a Virtual Roller Coaster Simulation

Cited by 24 publications

References 6 publications

Cybersickness and Its Severity Arising from Virtual Reality Content: A Comprehensive Study

Cybersickness and Its Severity Arising from Virtual Reality Content: A Comprehensive Study

Examining the Academic Trends in Neuropsychological Tests for Executive Functions Using Virtual Reality: Systematic Literature Review

A new device to restore sensory congruency in virtual reality and to prevent cybersickness

Contact Info

Product

Resources

About