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dc.rights.licenseopenen_US
dc.contributor.authorSINDHUPATHIRAJA, Siddhanth Raja
dc.contributor.authorULLAH, A K M Amanat
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorDELAMARE, William
ORCID: 0000-0002-1830-4294
IDREF: 190773960
dc.contributor.authorHASAN, Khalad
dc.date.accessioned2025-01-08T15:05:15Z
dc.date.available2025-01-08T15:05:15Z
dc.date.issued2024
dc.date.conference2024-03-16
dc.identifier.isbn979-8-3503-7402-5en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/204194
dc.description.abstractEnTeleportation, a widely-used locomotion technique in Virtual Reality (VR), allows instantaneous movement within VR environments. Enhanced hand tracking in modern VR headsets has popularized hands-only teleportation methods, which eliminate the need for physical controllers. However, these techniques have not fully explored the potential of bi-manual input, where each hand plays a distinct role in teleportation: one controls the teleportation point and the other confirms selections. Additionally, the influence of users’ posture, whether sitting or standing, on these techniques remains unexplored. Furthermore, previous teleportation evaluations lacked assessments based on established human motor models such as Fitts’ Law. To address these gaps, we conducted a user study (N=20) to evaluate bi-manual pointing performance in VR teleportation tasks, considering both sitting and standing postures. We proposed a variation of the Fitts’ Law model to accurately assess users’ teleportation performance. We designed and evaluated various bi-manual teleportation techniques, comparing them to uni-manual and dwell-based techniques. Results showed that bi-manual techniques, particularly when the dominant hand is used for pointing and the non-dominant hand for selection, enable faster teleportation compared to other methods. Furthermore, bi-manual and dwell techniques proved significantly more accurate than uni-manual teleportation. Moreover, our proposed Fitts’ Law variation more accurately predicted users’ teleportation performance compared to existing models. Finally, we developed a set of guidelines for designers to enhance VR teleportation experiences and optimize user interactions.
dc.language.isoENen_US
dc.publisherIEEEen_US
dc.subject.enHuman-centered computing
dc.subject.enHuman computer interaction
dc.subject.enInteraction paradigms
dc.subject.enVirtual reality
dc.subject.enHumancentered computing
dc.subject.enInteraction techniques
dc.subject.enGestural input
dc.title.enExploring Bi-Manual Teleportation in Virtual Reality
dc.typeCommunication dans un congrèsen_US
dc.identifier.doi10.1109/vr58804.2024.00095en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.page754-764en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.conference.title2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)en_US
bordeaux.countryusen_US
bordeaux.title.proceeding2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)en_US
bordeaux.conference.cityOrlando, FLen_US
bordeaux.import.sourcecrossref
hal.identifierhal-04874429
hal.version1
hal.date.transferred2025-01-08T15:05:17Z
hal.proceedingsouien_US
hal.conference.end2024-03-21
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcecrossref
dc.rights.ccPas de Licence CCen_US
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