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dc.contributor.authorPetrescu, Daviden_US
dc.contributor.authorWarren, Paul A.en_US
dc.contributor.authorMontazeri, Zahraen_US
dc.contributor.authorPettifer, Steveen_US
dc.contributor.editorBabaei, Vahiden_US
dc.contributor.editorSkouras, Melinaen_US
dc.date.accessioned2023-05-03T06:02:55Z
dc.date.available2023-05-03T06:02:55Z
dc.date.issued2023
dc.identifier.isbn978-3-03868-209-7
dc.identifier.issn1017-4656
dc.identifier.urihttps://doi.org/10.2312/egs.20231010
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egs20231010
dc.description.abstractVirtual Reality headsets enable users to explore the environment by performing self-induced movements. The retinal velocity produced by such motion reduces the visual system's ability to resolve fine detail. We measured the impact of self-induced head rotations on the ability to detect quality changes of a realistic 3D model in an immersive virtual reality environment. We varied the Level of Detail (LOD) as a function of rotational head velocity with different degrees of severity. Using a psychophysical method, we asked 17 participants to identify which of the two presented intervals contained the higher quality model under two different maximum velocity conditions. After fitting psychometric functions to data relating the percentage of correct responses to the aggressiveness of LOD manipulations, we identified the threshold severity for which participants could reliably (75%) detect the lower LOD model. Participants accepted an approximately four-fold LOD reduction even in the low maximum velocity condition without a significant impact on perceived quality, suggesting that there is considerable potential for optimisation when users are moving (increased range of perceptual uncertainty). Moreover, LOD could be degraded significantly more (around 84%) in the maximum head velocity condition, suggesting these effects are indeed speed-dependent.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Perception; Virtual reality
dc.subjectComputing methodologies → Perception
dc.subjectVirtual reality
dc.titleVelocity-Based LOD Reduction in Virtual Reality: A Psychophysical Approachen_US
dc.description.seriesinformationEurographics 2023 - Short Papers
dc.description.sectionheadersPerception for Sketches, VR, and Vision
dc.identifier.doi10.2312/egs.20231010
dc.identifier.pages41-44
dc.identifier.pages4 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License