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MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented Reality.

Zhutian Chen, Yijia Su, Yifang Wang

    IEEE Transactions on Visualization and Computer Graphics
    |January 15, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces MARVisT, a mobile tool enabling non-experts to create augmented reality (AR) data visualizations. MARVisT simplifies binding data to real-world objects for intuitive AR visualizations.

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    Area of Science:

    • Human-Computer Interaction
    • Data Visualization
    • Augmented Reality

    Background:

    • Mobile augmented reality (AR) offers unique advantages for personal data visualization, including contextual integration and user engagement.
    • Existing AR authoring tools often require PC-based workflows or manual object creation, hindering non-expert use for in-situ data visualization.

    Purpose of the Study:

    • To investigate the challenges of non-expert data visualization authoring in mobile AR environments.
    • To design and implement a novel mobile authoring tool, MARVisT, that facilitates in-situ creation of AR glyph-based visualizations.

    Main Methods:

    • Systematic study of AR glyph-based visualization authoring requirements.
    • Development of MARVisT, a mobile tool leveraging real-world context for data-to-AR content binding.
    • User study with non-experts to evaluate the authoring experience.

    Main Results:

    • MARVisT enables users without prior visualization expertise to rapidly create expressive AR glyph-based visualizations.
    • The tool effectively assists in establishing relationships between data, virtual glyphs, and real-world objects.
    • Demonstrated expressiveness of MARVisT through various examples.

    Conclusions:

    • MARVisT empowers non-experts to create context-aware AR data visualizations effortlessly.
    • The tool facilitates reshaping real-world representations with data through intuitive AR authoring.
    • MARVisT addresses the need for accessible mobile AR data visualization tools.