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A Conceptual Model and Taxonomy for Collaborative Augmented Reality.

Bernardo Marques, Samuel Silva, Joao Alves

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    This summary is machine-generated.

    Augmented Reality (AR) enhances collaboration by integrating virtual and real objects. This study proposes a framework and taxonomy to better analyze and report on AR-supported collaborative work.

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    Area of Science:

    • Human-Computer Interaction
    • Computer-Supported Cooperative Work

    Background:

    • Augmented Reality (AR) is explored for co-located and remote collaboration, integrating virtual and real objects for shared understanding.
    • Current research often focuses on AR technology and development methods, with less emphasis on evaluating collaborative processes.
    • A need exists to systematically analyze and characterize AR's contribution to collaborative work.

    Purpose of the Study:

    • To analyze dimensions for evaluating AR's impact on collaborative work.
    • To introduce a conceptual framework and a human-centered taxonomy for Collaborative AR.
    • To foster harmonization and systematization in the field of Collaborative AR research.

    Main Methods:

    • Analysis of key dimensions for AR in collaborative settings.
    • Development of a conceptual framework.
    • Proposal of an extended human-centered taxonomy for Collaborative AR features.

    Main Results:

    • A structured approach to analyzing AR-supported collaboration.
    • A taxonomy to categorize main features of Collaborative AR.
    • Examples demonstrating the taxonomy's application in characterizing collaborative work.

    Conclusions:

    • The proposed framework and taxonomy can harmonize perspectives in Collaborative AR research.
    • This work aims to improve the reporting and evaluation of AR in collaborative contexts.
    • The taxonomy provides a foundation for future studies on AR-supported collaborative work.