Volumetric Hybrid Workspaces: Interactions with Objects in Remote and Co-located Telepresence
Authors
Literature Title
Volumetric Hybrid Workspaces: Interactions with Objects in Remote and Co-located Telepresence
Literature Information
- Subject Area: Human-Computer Interaction, Mixed Reality, Remote Collaboration
- Keywords: Augmented Reality, Mixed Reality, Volumetric Capture, Remote Collaboration, Partially Distributed Teams, Workspace Awareness
Research Background and Issues
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Problems or Challenges:
- Traditional remote presence technologies often rely on screen-based mediums (e.g., video conferencing), which limit the expression of non-verbal communication (e.g., gestures, pointing).
- Existing remote collaboration technologies often lack support for spatial coordination and interaction with multi-format objects (physical, virtual, volumetric).
- Two-way volumetric capture is typically applied in dual-user scenarios, with limited exploration of complex, multi-user environments.
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Significance:
- With the increasing prevalence of remote work, there is a growing demand for remote collaboration technologies that support natural interaction, enhance spatial awareness, and improve non-verbal communication.
- Breaking the limitations of traditional mixed reality technologies confined to single workspaces, introducing remote users into fully reconstructed shared virtual environments can enhance collaboration efficiency and experience.
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Research Motivation and Related Work:
- Existing technologies such as Room2Room and Holoportation provide a foundation for remote collaboration but primarily focus on single workspaces or virtualized interactions.
- This study aims to explore a mixed reality platform supporting multi-user environments, enabling natural interactions between remote and local users through physical, volumetric, and virtual objects.
Solution
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Method or Solution: The authors propose a mixed reality-based volumetric telepresence platform (Volumetric Hybrid Workspaces) that can capture and reconstruct multi-user physical environments and objects in real time. Key features include:
- Real-time Two-way Communication: Creating shared workspaces using physical objects and human volumetric renderings.
- Multi-format Object Classification: Supporting interactions with physical objects, remotely rendered volumetric objects, and purely virtual objects.
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Innovations:
- Supports real-time two-way interactions among multiple users, overcoming the limitations of previous dual-user scenarios.
- Integrates local and remote users' physical representations to create a unified shared space experience.
- Provides interaction support for different categories of objects (physical, volumetric, virtual).
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Implementation Steps and Techniques:
- Volumetric Capture Device Deployment: Azure Kinect cameras are installed in two physical spaces for real-time environment capture.
- Data Stream Compression and Processing: Captured RGB-D data is optimized for low-latency transmission using compression techniques such as H.264 encoding and RVL algorithms.
- User Presentation: Microsoft Hololens 2 is used to present local and remote scenes to users via optical see-through mixed reality devices.
- Environment Calibration: CV methods are employed to establish spatial anchors between the two spaces, ensuring accurate alignment of remotely captured objects within the shared space.
Research Outcomes
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Specific Results:
- Successfully developed a real-time two-way volumetric mixed reality workspace, providing users with a natural and seamless collaborative experience.
- Defined three object formats (physical, volumetric, virtual) and explored their usage in collaborative tasks.
- User studies demonstrated that the system supports spatial coordination, enhances remote users' sense of participation, and optimizes non-verbal communication for collaboration.
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Advantages:
- Overcomes the limitations of traditional screen-based remote collaboration, which lacks non-verbal communication methods.
- Supports interaction with physical objects, naturally integrating them with remote environments.
- Two-way capture provides accurate and visually real-time user renderings, enhancing the sense of presence in collaboration.
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Experiment and Evaluation Results:
- 18 participants completed 7 tasks across 6 experiments, reporting that the system improved workspace understanding and collaboration.
- Virtual objects were perceived as highly visible, but volumetric objects were often mistaken for physical objects due to visual similarity.
- Tasks involving writing on physical cards enhanced psychological ownership of content creation and promoted tightly coupled interactions.
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Limitations and Future Directions:
- Limitations: The experiment scale was small and limited to scenarios involving two shared spaces; the dynamic potential of virtual content was not fully utilized.
- Future Directions:
- Explore designs for multi-space asymmetric volumetric remote collaboration.
- Add capabilities for dynamic generation of virtual content, such as virtual private spaces.
- Expand system support for non-adjacent spaces or integrate different user representations (e.g., virtual avatars and volumetric avatars).
Research Questions / Practical Problems
Question signals indexed for this paper.
Research Questions
3- In multi-user scenarios, how can mixed reality platforms enable natural interaction between remote and local users?Category: Gaze and Attention Guidance in Remote CollaborationSimilar questionsarrow_forward
- How can support for multi-format objects (physical, volumetric, virtual) improve remote collaboration efficiency?Category: Gaze and Attention Guidance in Remote CollaborationSimilar questionsarrow_forward
- How can real-time bidirectional volumetric capture improve spatial coordination and nonverbal communication for remote users?Category: Gaze and Attention Guidance in Remote CollaborationSimilar questionsarrow_forward
Practical Problems
1- Remote collaboration lacks tools for nonverbal communication and precise spatial coordination.Category: Gaze and Attention Guidance in Remote CollaborationSimilar questionsarrow_forward
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