A Survey on Methodological Approaches to Collaborative Embodiment in Virtual Reality

June 11, 2025 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Survey on Methodological Approaches to Collaborative Embodiment in Virtual Reality"

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Authors Hongyu Zhou, Yihao Dong, Masahiko Inami, Zhanna Sarsenbayeva, Anusha Withana arXiv ID 2507.18877 Category cs.HC: Human-Computer Interaction Citations 0 Venue arXiv.org Last Checked 5 days ago
Abstract
The application and implementation of collaborative embodiment in virtual reality (VR) are a critical aspect of the computer science landscape, aiming to enhance multi-user interaction and teamwork in immersive environments. A notable and enduring area of collaborative embodiment research focuses on approaches that enable multiple users to share control, interact, and investigate scenarios involving supernumerary arms in virtual spaces. In this survey, we will present an extensive overview of the methodologies employed in the past decade to enable collaboration in VR environments, particularly through embodiment. Using the PRISMA guidelines, we plan to analyze the study details from over 137 relevant research papers. Through this analysis, a critical assessment of the effectiveness of these methodologies will be conducted, highlighting current challenges and limitations in implementing collaborative embodiment in VR. Lastly, we discuss potential future research directions and opportunities for enhancing collaboration embodiment in virtual environments.
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