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    This study introduces a scene-aware automatic formation method for virtual reality (VR) guided tours, improving navigation efficiency and view quality for users and guides.

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    Area of Science:

    • Virtual Reality (VR)
    • Human-Computer Interaction (HCI)
    • Computer Graphics

    Background:

    • Group navigation in virtual reality (VR) aims to enhance efficiency and user experience in guided tours.
    • Current methods require clear user understanding of navigation and travel, posing challenges for tour guides in managing formations and avoiding collisions.
    • Effective path planning and user formation are crucial for successful VR guided tours.

    Purpose of the Study:

    • To propose a scene-aware automatic formation generation method for virtual reality (VR) guided tours.
    • To optimize tour formations for enhanced view quality and user navigation efficiency.
    • To reduce task load and improve usability for both tour guides and visitors in VR environments.

    Main Methods:

    • Generation of candidate points for exhibitions and initialization of group formations.
    • Optimization of formations using a proposed viewpoint observation score to maximize view quality.
    • Matching visitors to optimized formations to minimize view deflection angles.

    Main Results:

    • The proposed method significantly increased navigation efficiency compared to current approaches.
    • A substantial improvement in view quality was observed.
    • Task load was decreased, and system usability was enhanced for both guides and visitors.

    Conclusions:

    • The scene-aware automatic formation generation method offers a fast and user-friendly solution for VR guided tours.
    • This approach effectively addresses challenges in managing group navigation and optimizing user experience.
    • The findings suggest a promising advancement in VR-based guided tour systems.