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    Area of Science:

    • Human-computer interaction
    • Virtual reality
    • Social computing

    Background:

    • Social virtual reality (VR) platforms are evolving, necessitating robust methods for managing group spatial integrity and user interactions.
    • Teleportation, while efficient for navigation in VR, poses risks to group privacy and security due to potential unintended intrusions.
    • Existing methods lack effective mechanisms for controlled guest entry into established social VR groups.

    Purpose of the Study:

    • To introduce and evaluate novel negotiated teleportation techniques for user-to-group entry in social VR.
    • To develop dynamic zone computation methods that support spatially aware and negotiated guest access.
    • To enhance privacy, security, and user comfort within collaborative VR environments.

    Main Methods:

    • Developed two novel negotiated user-to-group teleportation techniques.
    • Implemented dynamic zone computation for mediating guest entry.
    • Conducted a user study in a VR art museum with 36 participants performing collaborative tasks.

    Main Results:

    • The proposed techniques significantly improved group privacy protection during guest entry.
    • User-to-group negotiation for teleportation joining requirements was effectively supported.
    • Anxiety related to unwanted proximity in social VR groups was substantially alleviated.

    Conclusions:

    • Negotiated teleportation with dynamic zone computation offers a viable solution for secure and private group entry in social VR.
    • These methods enhance user experience by providing control over spatial interactions and reducing social anxiety.
    • The findings are crucial for the development of more secure and user-centric metaverse and social VR platforms.