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Visual Guidance for User Placement in Avatar-Mediated Telepresence Between Dissimilar Spaces
IEEE Transactions on Visualization and Computer Graphics
|January 16, 2024
Summary
This study introduces a visual guidance system for avatar-mediated mixed-reality (MR) telepresence. It helps users find optimal positions for clear gaze and pointing, improving remote collaboration in virtual environments.
Area of Science:
- Human-Computer Interaction
- Virtual Reality
- Mixed Reality
Background:
- Mixed-reality (MR) telepresence enables immersive remote collaboration.
- Avatar-mediated interactions require effective spatial context transfer.
- Current systems lack guidance for optimal user placement.
Purpose of the Study:
- To develop and evaluate a visual guidance system for avatar-mediated MR telepresence.
- To improve the transfer of gaze and pointing contexts between users in different spaces.
- To enhance user placement for effective remote interaction.
Main Methods:
- Developed a novel visual guidance system using angle-based interaction features and recommendation scores.
- Visualized placement recommendations using color-coded 2D sectors and overlapped virtual objects.
- Conducted user experiments in virtual reality (VR) to validate the score measure and visualization effectiveness.
- Evaluated the system in a real-world MR telepresence scenario.
Main Results:
- The proposed score measure correlates with user perception of interaction context.
- A score threshold for effective recommendations was identified through VR user experiments.
- Different visualization combinations were assessed for effectiveness and perceptual load in VR.
- The system demonstrated effectiveness in real-world MR telepresence applications.
Conclusions:
- The visual guidance system effectively directs users to optimal placements for improved avatar-mediated telepresence.
- The method enhances the transfer of interaction contexts like gaze and pointing in dissimilar spaces.
- This research contributes to more intuitive and effective remote collaboration in mixed-reality environments.
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