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Conflict Resolution Strategies for Co-Manipulation of Virtual Objects Under Non-Disjoint Conditions.

Xian Wang, Xuanru Cheng, Rongkai Shi

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    Summary

    This study introduces new conflict resolution strategies for virtual reality (VR) co-manipulation, enabling smoother collaboration on complex virtual objects. Findings suggest tailored approaches enhance user experience and task efficiency in collaborative VR environments.

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    Area of Science:

    • Human-Computer Interaction
    • Virtual Reality
    • Collaborative Systems

    Background:

    • Current virtual reality (VR) co-manipulation treats objects as single units, limiting simultaneous sub-component interaction.
    • Conflicts arise when users select overlapping parts of virtual objects, hindering collaborative editing.

    Purpose of the Study:

    • To develop and evaluate conflict resolution strategies for VR co-manipulation of object sub-components.
    • To compare preventive (restrictions) and reactive (computational) approaches for collaborative editing.

    Main Methods:

    • A framework combining preventive strategies (Object-level and Action level Restrictions) and reactive strategies (computational conflict resolution) was developed.
    • Two user studies with 76 participants evaluated these strategies in collaborative wireframe editing tasks.

    Main Results:

    • Averaging was identified as the optimal computational method in Study 1.
    • Action-level Restriction outperformed exclusive object locking in Study 2, balancing performance and user experience.
    • Reactive strategies with averaging and second-user priority facilitated smooth collaboration and quick corrections.

    Conclusions:

    • Optimal conflict resolution in VR co-manipulation depends on task specifics, user expertise, and collaboration dynamics.
    • Design implications are provided for VR systems supporting flexible sub-component manipulation and collaborative awareness.