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Cone of Vision as a Behavioural Cue for VR Collaboration

Riccardo Bovo, Daniele Giunchi, Muna Alebri, Anthony Steed, Enrico Costanza, Thomas Heinis

2022Proceedings of the ACM on Human-Computer Interaction20 citationsDOIOpen Access PDF

Abstract

Mutual awareness of visual attention is essential for collaborative work. In the field of collaborative virtual environments (CVE), it has been proposed to use Field-of-View (FoV) frustum visualisations as a cue to support mutual awareness during collaboration. Recent studies on FoV frustum visualisations focus on asymmetric collaboration with AR/VR hardware setups and 3D reconstructed environments. In contrast, we focus on the general-purpose CVEs (i.e., VR shared offices), whose popularity is increasing due to the availability of low-cost headsets, and the restrictions imposed by the pandemic. In these CVEs collaboration roles are symmetrical, and the same 2D content available on desktop computers is displayed on 2D surfaces in a 3D space (VR screens). We prototyped one such CVE to evaluate FoV frustrum visualisation within this collaboration scenario. We also implement a FoV visualisation generated from an average fixation map (AFM), therefore directly generated by users' gaze behaviour which we call Cone of Vision (CoV). Our approach to displaying the frustum visualisations is tailored for 2D surfaces in 3D space and allows for self-awareness of this visual cue. We evaluate CoV in the context of a general exploratory data analysis (EDA) with 10 pairs of participants. Our findings indicate that CoV is beneficial during shifts between independent and collaborative work and supports collaborative progression across the visualisation. Self-perception of the CoV improves visual attention coupling, reduces the number of times users watch the collaborator's avatars and offers a consistent representation of the shared reality.

Topics & Concepts

FrustumComputer scienceVisualizationHuman–computer interactionAugmented realityContext (archaeology)Virtual realityFocus (optics)PerceptionGazeComputer graphics (images)MultimediaComputer visionArtificial intelligencePsychologyPhysicsBiologyMathematicsOpticsPaleontologyNeuroscienceGeometryVirtual Reality Applications and ImpactsImage and Video Quality AssessmentVisual Attention and Saliency Detection
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