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      A virtual reality study investigating the train illusion

      research-article
      1 , , 1 , 1 , 1 , 2
      Royal Society Open Science
      The Royal Society
      vection intensity, qualitative survey, mixed methods, physiological responses

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          Abstract

          The feeling of self-movement that occurs in the absence of physical motion is often referred to as vection, which is commonly exemplified using the train illusion analogy (TIA). Limited research exists on whether the TIA accurately exemplifies the experience of vection in virtual environments (VEs). Few studies complemented their vection research with participants' qualitative feedback or by recording physiological responses, and most studies used stimuli that contextually differed from the TIA. We investigated whether vection is experienced differently in a VE replicating the TIA compared to a VE depicting optic flow by recording subjective and physiological responses. Additionally, we explored participants' experience through an open question survey. We expected the TIA environment to induce enhanced vection compared to the optic flow environment. Twenty-nine participants were visually and audibly immersed in VEs that either depicted optic flow or replicated the TIA. Results showed optic flow elicited more compelling vection than the TIA environment and no consistent physiological correlates to vection were identified. The post-experiment survey revealed discrepancies between participants' quantitative and qualitative feedback. Although the dynamic content may outweigh the ecological relevance of the stimuli, it was concluded that more qualitative research is needed to understand participants' vection experience in VEs.

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Journal
                R Soc Open Sci
                R Soc Open Sci
                RSOS
                royopensci
                Royal Society Open Science
                The Royal Society
                2054-5703
                April 12, 2023
                April 2023
                April 12, 2023
                : 10
                : 4
                : 221622
                Affiliations
                [ 1 ] Institute for Intelligent Systems Research and Innovation, Deakin University, , Geelong, Victoria, Australia
                [ 2 ] Harvard Paulson School of Engineering and Applied Sciences, Harvard University, , Allston, MA 02134, USA
                Author notes

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.6502572.

                Author information
                http://orcid.org/0000-0002-0902-5752
                https://orcid.org/0000-0002-3620-8693
                https://orcid.org/0000-0002-8851-1635
                https://orcid.org/0000-0002-0360-5270
                Article
                rsos221622
                10.1098/rsos.221622
                10090874
                44fc356d-18f7-4276-a9d2-afb67085adcb
                © 2023 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : August 31, 2022
                : March 20, 2023
                Funding
                Funded by: Institute for Intelligent Systems Research and Innovation;
                Funded by: Australian Research Council (ARC);
                Award ID: DE210101623
                Categories
                1001
                205
                202
                Psychology and Cognitive Neuroscience
                Research Articles

                vection intensity,qualitative survey,mixed methods,physiological responses

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