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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Virtual Reality

    Background:

    • Traditional 3D visualization often limits collaborative exploration.
    • Existing systems struggle with seamless interaction across multiple views.
    • Effective collaborative 3D data exploration requires synchronized and intuitive interfaces.

    Purpose of the Study:

    • To present a novel collaborative virtual reality (VR) system enabling multiple immersive 3D views of large 3D scenes.
    • To enable seamless 3D interaction across independent viewing contexts.
    • To investigate the impact of multi-view VR systems on collaborative data exploration.

    Main Methods:

    • Developed a system with two synchronized multi-user 3D displays: a tabletop and a vertical projection screen.
    • Integrated handheld 3D portals for personal exploration and view comparison.
    • Designed and implemented a software architecture for coordinating user input across independent 3D views.
    • Conducted a formal user study to evaluate the system's effectiveness.

    Main Results:

    • The system supports egocentric (1:1 scale) and allocentric (overview) exploration via wall and tabletop displays, respectively.
    • Handheld 3D portals facilitate scene exploration, view comparison, and user interaction.
    • Seamless 3D interaction across independent views was achieved through input coordination and ambiguity resolution.
    • User study demonstrated advantages in user preference, comfort, and task performance for collaborative 3D data exploration.

    Conclusions:

    • The novel collaborative VR system effectively supports multi-view 3D data exploration.
    • Seamless interaction across diverse 3D views is achievable with appropriate software design and coordination.
    • The multi-view approach significantly enhances collaborative 3D exploration compared to single-view systems.