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      Cybersickness Variability by Race: Findings From 6 Studies and a Mini Meta-analysis

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          Abstract

          Background

          With the influx of medical virtual reality (VR) technologies, cybersickness has transitioned from a nuisance experienced during leisure activities to a potential safety and efficacy concern for patients and clinicians. To improve health equity, it is important to understand any potential differences in cybersickness propensity among demographic groups, including racial groups.

          Objective

          This study aims to explore whether cybersickness propensity differs across racial groups.

          Methods

          We collected self-reported cybersickness ratings from 6 racially diverse independent samples within 1 laboratory group (N=931). In these studies, the participants were asked to perform tasks in VR such as traversing environments, pointing at and selecting objects, and interacting with virtual humans.

          Results

          Significant racial differences in cybersickness were found in 50% (3/6) of studies. A mini meta-analysis revealed that, on average, Black participants reported approximately one-third of SD less cybersickness than White participants (Cohen d=−0.31; P<.001), regardless of the nature of the VR experience. There was no overall difference in reported cybersickness between the Asian and White participants (Cohen d=−0.11; P=.51).

          Conclusions

          Racial differences in cybersickness indicate that researchers, practitioners, and regulators should consider patient demographics when evaluating VR health intervention outcomes. These findings lay the groundwork for future studies that may explore racial differences in cybersickness directly.

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          Most cited references77

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          Meta-analysis in clinical trials

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            The weirdest people in the world?

            Behavioral scientists routinely publish broad claims about human psychology and behavior in the world's top journals based on samples drawn entirely from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. Researchers - often implicitly - assume that either there is little variation across human populations, or that these "standard subjects" are as representative of the species as any other population. Are these assumptions justified? Here, our review of the comparative database from across the behavioral sciences suggests both that there is substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species - frequent outliers. The domains reviewed include visual perception, fairness, cooperation, spatial reasoning, categorization and inferential induction, moral reasoning, reasoning styles, self-concepts and related motivations, and the heritability of IQ. The findings suggest that members of WEIRD societies, including young children, are among the least representative populations one could find for generalizing about humans. Many of these findings involve domains that are associated with fundamental aspects of psychology, motivation, and behavior - hence, there are no obvious a priori grounds for claiming that a particular behavioral phenomenon is universal based on sampling from a single subpopulation. Overall, these empirical patterns suggests that we need to be less cavalier in addressing questions of human nature on the basis of data drawn from this particularly thin, and rather unusual, slice of humanity. We close by proposing ways to structurally re-organize the behavioral sciences to best tackle these challenges.
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              Measuring Presence in Virtual Environments: A Presence Questionnaire

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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                June 2022
                1 June 2022
                : 24
                : 6
                : e36843
                Affiliations
                [1 ] Social and Behavioral Research Branch National Human Genome Research Institute National Institutes of Health Bethesda, MD United States
                [2 ] Office of Science and Engineering Laboratories US Food and Drug Administration Silver Spring, MD United States
                Author notes
                Corresponding Author: Susan Persky perskys@ 123456mail.nih.gov
                Author information
                https://orcid.org/0000-0001-8407-8611
                https://orcid.org/0000-0003-0822-5901
                https://orcid.org/0000-0003-1468-299X
                https://orcid.org/0000-0003-0364-1842
                https://orcid.org/0000-0002-7768-5744
                Article
                v24i6e36843
                10.2196/36843
                9201708
                35648477
                b426b485-f5c1-4304-a757-a4d3eb351851
                ©Alison Jane Martingano, Ellenor Brown, Sydney H Telaak, Alexander P Dolwick, Susan Persky. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 01.06.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 27 January 2022
                : 10 February 2022
                : 22 March 2022
                : 20 April 2022
                Categories
                Original Paper
                Original Paper

                Medicine
                cybersickness,racial differences,virtual reality,head-mounted displays,simulator sickness
                Medicine
                cybersickness, racial differences, virtual reality, head-mounted displays, simulator sickness

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