Individualized Calibration of Rotation Gain Thresholds for Redirected Walking

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dc.contributor.authorHutton, Courtneyen_US
dc.contributor.authorZiccardi, Shelbyen_US
dc.contributor.authorMedina, Julioen_US
dc.contributor.authorRosenberg, Evan Sumaen_US
dc.contributor.editorBruder, Gerd and Yoshimoto, Shunsuke and Cobb, Sueen_US
dc.date.accessioned2018-11-06T16:07:30Z
dc.date.available2018-11-06T16:07:30Z
dc.date.issued2018
dc.description.abstractRedirected walking allows the exploration of large virtual environments within a limited physical space. To achieve this, redirected walking algorithms must maximize the rotation gains applied while remaining imperceptible to the user. Previous research has established population averages for redirection thresholds, including rotation gains. However, these averages do not account for individual variation in tolerance of and susceptibility to redirection. This paper investigates methodologies designed to quickly and accurately calculate rotation gain thresholds for an individual user. This new method is straightforward to implement, requires a minimal amount of space, and takes only a few minutes to estimate a user's personal threshold for rotation gains. Results from a user study support the wide variability in detection thresholds and indicate that the method of parameter estimation through sequential testing (PEST) is viable for efficiently calibrating individual thresholds.en_US
dc.description.sectionheadersAvatars and Movement
dc.description.seriesinformationICAT-EGVE 2018 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
dc.identifier.doi10.2312/egve.20181315
dc.identifier.isbn978-3-03868-058-1
dc.identifier.issn1727-530X
dc.identifier.pages61-64
dc.identifier.urihttps://doi.org/10.2312/egve.20181315
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20181315
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVirtual reality
dc.subjectUser studies
dc.subjectComputing methodologies
dc.subjectPerception
dc.titleIndividualized Calibration of Rotation Gain Thresholds for Redirected Walkingen_US
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