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dc.contributor.authorMacArthur, Cayley
dc.contributor.authorGrinberg, Arielle
dc.contributor.authorHarley, Daniel
dc.contributor.authorHancock, Mark
dc.date.accessioned2021-08-20 19:20:40 (GMT)
dc.date.available2021-08-20 19:20:40 (GMT)
dc.date.issued2021-05-06
dc.identifier.urihttps://doi.org/10.1145/3411764.3445701
dc.identifier.urihttp://hdl.handle.net/10012/17228
dc.description© {Owner/Author | ACM} 2021. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, http://dx.doi.org/10.1145/3411764.3445701.en
dc.description.abstractWhile multiple studies suggest that female-identified participants are more likely to experience cybersickness in virtual reality (VR), our systematic review of 71 eligible VR publications (59 studies and 12 surveys) pertaining to gender and cybersickness reveals a number of confounding factors in study design (e.g., a variety of technical specifications, tasks, content), a lack of demographic data, and a bias in participant recruitment. Our review shows an ongoing need within VR research to more consistently include and report on women’s experiences in VR to better understand the gendered possibility of cybersickness. Based on the gaps identified in our systematic review, we contribute study design recommendations for future work, arguing that gender considerations are necessary at every stage of VR study design, even when the study is not ‘about’ gender.en
dc.description.sponsorshipFunder 1, NSERC Discovery Grant 2016-04422 || Funder 2, NSERC Discovery Accelerator Grant 492970-2016 || Funder 3, NSERC CREATE Saskatchewan-Waterloo Games User Research (SWaGUR) Grant 479724-2016 || Funder 4, Ontario Early Researcher Award ER15-11-184en
dc.language.isoenen
dc.publisherACMen
dc.relation.ispartofseriesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems;
dc.relation.urihttps://osf.io/pu62x/?view_only=74128630aba64c67a77b8f7848cfd95den
dc.subjectgenderen
dc.subjectsexen
dc.subjectcybersicknessen
dc.subjectsimulator sicknessen
dc.subjectvirtual realityen
dc.subjectvirtual environmentsen
dc.subjectsystematic reviewen
dc.titleYou’re Making Me Sick: A Systematic Review of How Virtual Reality Research Considers Gender & Cybersicknessen
dc.typeConference Paperen
dcterms.bibliographicCitationCayley MacArthur, Arielle Grinberg, Daniel Harley, and Mark Hancock. 2021. You’re Making Me Sick: A Systematic Review of How Virtual Reality Research Considers Gender & Cybersickness. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Article 401, 1–15. DOI:https://doi.org/10.1145/3411764.3445701en
uws.contributor.affiliation1Faculty of Artsen
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Games Instituteen
uws.contributor.affiliation2Management Sciencesen
uws.contributor.affiliation2Systems Design Engineeringen
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.scholarLevelGraduateen


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