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dc.contributor.authorSalvetti, Isadoraen_US
dc.contributor.authorRios, Alexen_US
dc.contributor.authorNuria, Pelechanoen_US
dc.contributor.editorCasas, Dan and Jarabo, Adriánen_US
dc.date.accessioned2019-06-25T16:20:51Z
dc.date.available2019-06-25T16:20:51Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-093-2
dc.identifier.urihttps://doi.org/10.2312/ceig.20191212
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/ceig20191212
dc.description.abstractVirtual navigation should be as similar as possible to how we move in the real world, however the limitations of hardware and physical space make this a challenging problem. Tracking natural walk is only feasible when the dimensions of the virtual environment match those of the real world. The problem of most navigation techniques is that they produce motion sickness because the optical flow observed does not match the vestibular and proprioceptive information that appears during real physical movement. Walk in place is a technique that can successfully reduce motion sickness without losing presence in the virtual environment. It is suitable for navigating in a very large virtual environment but it is not usually needed in small virtual spaces. Most current work focuses on one specific navigation metaphor, however in our experience we have observed that if users are given the possibility to use walk in place for large distances, they tend to switch to normal walk when they are in a confined virtual area (such as a small room). Therefore, in this paper we present our ongoing work to seamlessly switch between two navigation metaphors based on leg and head tracking to achieve a more intuitive and natural virtual navigation.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectSoftware and its engineering
dc.subjectVirtual worlds training simulations
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVirtual reality
dc.titleSmooth Transitioning Between two Walking Metaphors for Virtual Reality Applicationsen_US
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)
dc.description.sectionheadersShort Papers
dc.identifier.doi10.2312/ceig.20191212
dc.identifier.pages97-101


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  • CEIG19
    ISBN 978-3-03868-093-2

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