Evaluating the Performance of Virtual Reality Navigation Techniques for Large Environments

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dc.contributor.authorDanyluk, Kurtis
dc.contributor.authorWillett, Wesley
dc.date.accessioned2021-05-05T21:39:29Z
dc.date.available2021-05-05T21:39:29Z
dc.date.issued2019-01
dc.description.abstractWe present results from two studies comparing the performance of four different navigation techniques (flight, teleportation, world-in-miniature, and 3D cone-drag) and their combinations in large virtual reality map environments. While prior work has individually examined each of these techniques in other settings, our study presents the first direct comparison between them in large open environments, as well as one of the first comparisons in the context of current-generation virtual reality hardware. Our first study compared common techniques (flight, teleportation, and world-in-miniature) for search and navigation tasks. A follow-up study compared these techniques against 3D cone drag, a direct-manipulation navigation technique used in contemporary tools like Google Earth VR. Our results show the strength of flight as a stand-alone navigation technique, but also highlight five specific ways in which viewers can combine teleportation, world-in-miniature, and 3D cone drag with flight, drawing on the relative strengths of each technique to compensate for the weaknesses of others.en_US
dc.description.grantingagencyNatural Sciences and Engineering Research Council (NSERC)en_US
dc.identifier.citationDanyluk K., Willett W. (2019) Evaluating the Performance of Virtual Reality Navigation Techniques for Large Environments. In: Gavrilova M., Chang J., Thalmann N., Hitzer E., Ishikawa H. (eds) Advances in Computer Graphics. CGI 2019. Lecture Notes in Computer Science, vol 11542. Springer, Cham. https://doi.org/10.1007/978-3-030-22514-8_17en_US
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-030-22514-8_17en_US
dc.identifier.grantnumberGPIN-2016-0456en_US
dc.identifier.isbn978-3-030-22514-8
dc.identifier.isbn978-3-030-22513-1
dc.identifier.urihttp://hdl.handle.net/1880/113367
dc.identifier.urihttps://doi.org/10.11575/PRISM/46150
dc.language.isoengen_US
dc.publisherSpringer Nature Switzerlanden_US
dc.publisher.departmentComputer Scienceen_US
dc.publisher.facultyScienceen_US
dc.publisher.hasversionacceptedVersionen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.publisher.policyhttps://www.springer.com/gb/open-access/publication-policies/self-archiving-policyen_US
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectHuman computer interaction (HCI)en_US
dc.subjectVirtual Realityen_US
dc.subjectDigital Mapsen_US
dc.subjectNavigationen_US
dc.titleEvaluating the Performance of Virtual Reality Navigation Techniques for Large Environmentsen_US
dc.typeconference paperen_US
ucalgary.item.requestcopytrueen_US
ucalgary.scholar.levelGraduateen_US
ucalgary.scholar.levelFacultyen_US
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