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Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
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Collaborative Work in Augmented Reality: A Survey.

Mickael Sereno, Xiyao Wang, Lonni Besancon

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    This summary is machine-generated.

    This survey explores multi-user Augmented Reality (AR) and Computer-Supported Collaborative Work (CSCW), categorizing 65 papers. It identifies key design considerations and under-explored research areas for collaborative AR environments.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Collaborative Systems

    Background:

    • Augmented Reality (AR) enables virtual content overlay in real-world environments, with applications spanning medicine, education, and design.
    • Despite AR's long development, multi-user scenarios and their integration with Computer-Supported Collaborative Work (CSCW) remain under-researched.

    Purpose of the Study:

    • To systematically survey and analyze existing research at the intersection of Augmented Reality and Computer-Supported Collaborative Work (AR-CSCW).
    • To categorize current AR-CSCW literature and identify key design considerations and future research directions.

    Main Methods:

    • A systematic survey approach combined with an exploratory literature search was employed.
    • 65 relevant papers were categorized based on dimensions including space, time, role symmetry, technology symmetry, and input/output modalities.

    Main Results:

    • The study categorizes 65 AR-CSCW papers across defined dimensions.
    • Identified under-explored research topics include heterogeneous hardware and 3D data exploration in collaborative AR.

    Conclusions:

    • The survey provides a structured overview of the AR-CSCW field for researchers and practitioners.
    • Highlights the need for further investigation into heterogeneous hardware and advanced 3D data interaction within collaborative AR systems.