Embodiment from Virtual Hands-and-feet Movements during walking

Simple item page
dc.contributor.authorHirose, Shuyaen_US
dc.contributor.authorKitazaki, Michiteruen_US
dc.contributor.editorTanabe, Takeshien_US
dc.contributor.editorYem, Vibolen_US
dc.date.accessioned2024-11-29T06:37:59Z
dc.date.available2024-11-29T06:37:59Z
dc.date.issued2024
dc.description.abstractThis study investigated the influence of global self-motion (walking) on the sense of whole-body ownership induced by virtual hands-and-feet stimuli that moved synchronously with participants. Participants were exposed to normal and scrambled arrangements of hands and feet, while performing reaching tasks with or without walking. Results showed that scrambled hand-and-feet arrangements significantly decreased the sense of part-body ownership, whole-body ownership, invisible body perception, and agency. It did not significantly improve whole-body or part-body ownership. These findings suggest that global self-motion might not be a crucial factor in enhancing body ownership, and further research is needed to explore alternative methods for improving the embodiment.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationICAT-EGVE 2024 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and Demos
dc.identifier.doi10.2312/egve.20241384
dc.identifier.isbn978-3-03868-246-2
dc.identifier.issn1727-530X
dc.identifier.pages2 pages
dc.identifier.urihttps://doi.org/10.2312/egve.20241384
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/egve20241384
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Virtual reality
dc.subjectHuman centered computing → Virtual reality
dc.titleEmbodiment from Virtual Hands-and-feet Movements during walkingen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
egve20241384.pdf
Size:
459.56 KB
Format:
Adobe Portable Document Format
Download
Collections
ICAT-EGVE2024 - Posters and Demos