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The Effect of Camera Perspectives on Locomotion Accuracy in Virtual Reality

dc.contributor.authorUjkani, Arbresh
dc.contributor.authorWillms, Jan
dc.contributor.authorTurgut, Lezgin
dc.contributor.authorWolf, Katrin
dc.contributor.editorAlt, Florian
dc.contributor.editorBulling, Andreas
dc.contributor.editorDöring, Tanja
dc.date.accessioned2019-08-22T04:36:28Z
dc.date.available2019-08-22T04:36:28Z
dc.date.issued2019
dc.description.abstractThis paper investigates the effect of commonly used camera perspectives (First-person perspective, over the shoulder, behind the back and from top to bottom) on locomotion efficiency in virtual reality (VR). To test this research objective in a user study, a virtual test environment was implemented in which a ball can be maneuvered using four different camera perspectives. We analyzed the time taken to complete four different paths and the offset between the path taken and the optimal one (path accuracy) displayed on the ground. The study results show that the "first person perspective" and "behind the back" perspectives allow more precise maneuvering in VR, while no difference in speed was found. We defined guidelines that can help game designers and VR developers to create VR applications with high accuracy needs. Our findings are relevant, especially to decide which perspectives are best for specific applications that require high accuracy, such as remote surgery.en
dc.description.urihttps://dl.acm.org/authorize?N681248
dc.identifier.doi10.1145/3340764.3344918
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24571
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2019 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectLocomotion
dc.subjectperspective
dc.subjectaccuracy
dc.subjectVirtual Reality
dc.titleThe Effect of Camera Perspectives on Locomotion Accuracy in Virtual Realityen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York
gi.conference.date8.-11. September 2019
gi.conference.locationHamburg
gi.conference.sessiontitleMCI: Short Paper (Poster)
gi.document.qualitydigidoc

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