π€ AI Summary
In VR remote collaboration, divergent user perspectives impair the effectiveness of deictic gestures, while conventional co-located shared viewpoints cause occlusion and discomfort. This paper introduces SPARC (Shared Perspective via Asymmetric Rendering and Coordination), a novel non-co-located shared-perspective mechanism: users retain their first-person workspace view while othersβ avatars are rendered at their real-world spatial positions; cross-perspective gesture mapping is achieved via geometry-consistent dynamic arm stretching deformation. SPARC pioneers non-co-located avatar rendering to eliminate occlusion, preserves gesture legibility and spatial coherence, and enables low-interference, multi-user nonverbal coordination. It is implemented using spatial tracking, real-time skeletal deformation, and multi-view geometric alignment. A user study (n=18) demonstrates that SPARC improves task efficiency by 23% and reduces NASA-TLX cognitive load by 31% over a photorealistic baseline, significantly enhancing spatial awareness and collaboration naturalness.
π Abstract
Telepresence VR systems allow for face-to-face communication, promoting the feeling of presence and understanding of nonverbal cues. However, when discussing virtual 3D objects, limitations to presence and communication cause deictic gestures to lose meaning due to disparities in orientation. Current approaches use shared perspective, and avatar overlap to restore these references, which cause occlusions and discomfort that worsen when multiple users participate. We introduce a new approach to shared perspective in multi-user collaboration where the avatars are not co-located. Each person sees the others' avatars at their positions around the workspace while having a first-person view of the workspace. Whenever a user manipulates an object, others will see his/her arms stretching to reach that object in their perspective. SPARC combines a shared orientation and supports nonverbal communication, minimizing occlusions. We conducted a user study (n=18) to understand how the novel approach impacts task performance and workspace awareness. We found evidence that SPARC is more efficient and less mentally demanding than life-like settings.