OVRlap: Perceiving Multiple Locations Simultaneously to Improve Interaction in VR
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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OVRlap : Perceiving Multiple Locations Simultaneously to Improve Interaction in VR. / Schjerlund, Jonas; Hornbæk, Kasper; Bergström, Joanna.
CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2022. s. 1-13 355.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - OVRlap
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
AU - Schjerlund, Jonas
AU - Hornbæk, Kasper
AU - Bergström, Joanna
N1 - Publisher Copyright: © 2022 ACM.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - interaction techniques
KW - large environments
KW - user studies
KW - virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85130531476&partnerID=8YFLogxK
U2 - 10.1145/3491102.3501873
DO - 10.1145/3491102.3501873
M3 - Article in proceedings
AN - SCOPUS:85130531476
SP - 1
EP - 13
BT - CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 30 April 2022 through 5 May 2022
ER -
ID: 309121492