OVRlap: Perceiving Multiple Locations Simultaneously to Improve Interaction in VR

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt


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We introduce OVRlap, a VR interaction technique that lets the user perceive multiple places at the same time from a first-person perspective. OVRlap achieves this by overlapping viewpoints. At any time, only one viewpoint is active, meaning that the user may interact with objects therein. Objects seen from the active viewpoint are opaque, whereas objects seen from passive viewpoints are transparent. This allows users to perceive multiple locations at once and easily switch to the one in which they want to interact. We compare OVRlap and a single-viewpoint technique in a study where 20 participants complete object-collection and monitoring tasks. We find that in both tasks, participants are significantly faster and move their head significantly less with OVRlap. We propose how the technique might be improved through automated switching of the active viewpoint and intelligent viewpoint rendering.

TitelCHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
ForlagAssociation for Computing Machinery
ISBN (Elektronisk)9781450391573
StatusUdgivet - 2022
Begivenhed2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 - Virtual, Online, USA
Varighed: 30 apr. 20225 maj 2022


Konference2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
ByVirtual, Online

Bibliografisk note

Funding Information:
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement 648785).

Publisher Copyright:
© 2022 ACM.

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