Investigating the Relative Contributions of Unexpected Vection and Postural Instability to VR Cybersickness.
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| Title: | Investigating the Relative Contributions of Unexpected Vection and Postural Instability to VR Cybersickness. |
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| Authors: | Teixeira, Joel1 (AUTHOR) joelt@uow.edu.au, Miellet, Sebastien1 (AUTHOR), Palmisano, Stephen1 (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. Mar2025, Vol. 41 Issue 5, p3014-3030. 17p. |
| Subjects: | Vection, Simulator sickness, Symptoms |
| Abstract: | This study tested unexpected vection and postural instability accounts of cybersickness by having 30 participants play a commercial virtual reality (VR) simulation ("Mission-ISS"), while wearing head-mounted displays (HMD) for up to 14 minutes, or until the first symptoms of sickness. Of these participants, 23 reported symptoms, while 7 did not. We found that the likelihood and severity of cybersickness increased when the vection experienced was unexpected. Spontaneous standing sway before entering VR was also found to differ depending on whether the participant became sick or remained well. In addition, the severity of their sickness appeared to be related to changes in their sway during VR. When these vection and sway-based predictors were examined together, unexpected vection emerged as the strongest predictor of cybersickness. Taken together with the findings of recent studies, the research shows that unexpected vection predicts experiences of cybersickness across a variety of different virtual environments, virtual navigation methods and types of simulated movement. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 183273597 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Investigating the Relative Contributions of Unexpected Vection and Postural Instability to VR Cybersickness. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Teixeira%2C+Joel%22">Teixeira, Joel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> joelt@uow.edu.au</i><br /><searchLink fieldCode="AR" term="%22Miellet%2C+Sebastien%22">Miellet, Sebastien</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Palmisano%2C+Stephen%22">Palmisano, Stephen</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Mar2025, Vol. 41 Issue 5, p3014-3030. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Vection%22">Vection</searchLink><br /><searchLink fieldCode="DE" term="%22Simulator+sickness%22">Simulator sickness</searchLink><br /><searchLink fieldCode="DE" term="%22Symptoms%22">Symptoms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study tested unexpected vection and postural instability accounts of cybersickness by having 30 participants play a commercial virtual reality (VR) simulation ("Mission-ISS"), while wearing head-mounted displays (HMD) for up to 14 minutes, or until the first symptoms of sickness. Of these participants, 23 reported symptoms, while 7 did not. We found that the likelihood and severity of cybersickness increased when the vection experienced was unexpected. Spontaneous standing sway before entering VR was also found to differ depending on whether the participant became sick or remained well. In addition, the severity of their sickness appeared to be related to changes in their sway during VR. When these vection and sway-based predictors were examined together, unexpected vection emerged as the strongest predictor of cybersickness. Taken together with the findings of recent studies, the research shows that unexpected vection predicts experiences of cybersickness across a variety of different virtual environments, virtual navigation methods and types of simulated movement. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=183273597 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10447318.2024.2330041 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 3014 Subjects: – SubjectFull: Vection Type: general – SubjectFull: Simulator sickness Type: general – SubjectFull: Symptoms Type: general Titles: – TitleFull: Investigating the Relative Contributions of Unexpected Vection and Postural Instability to VR Cybersickness. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Teixeira, Joel – PersonEntity: Name: NameFull: Miellet, Sebastien – PersonEntity: Name: NameFull: Palmisano, Stephen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10447318 Numbering: – Type: volume Value: 41 – Type: issue Value: 5 Titles: – TitleFull: International Journal of Human-Computer Interaction Type: main |
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