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Personal Augmented Reality for Information Visualization on Large Interactive Displays.

Patrick Reipschlager, Tamara Flemisch, Raimund Dachselt

    IEEE Transactions on Visualization and Computer Graphics
    |October 14, 2020
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    This study combines large displays with Augmented Reality (AR) for enhanced information visualization. The proposed techniques improve data exploration and analysis, offering great potential for understanding complex datasets.

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    Area of Science:

    • Human-Computer Interaction
    • Information Visualization
    • Augmented Reality

    Background:

    • Large displays offer ample space but pose challenges in perception, multi-user support, and data complexity.
    • Existing information visualization methods struggle with dense and complex datasets on large displays.

    Purpose of the Study:

    • To propose and explore the combination of large interactive displays with head-mounted Augmented Reality (AR) for improved information visualization.
    • To address challenges in data exploration and analysis using large displays by leveraging AR.

    Main Methods:

    • Developed an extensive design space for spatial alignment, augmentation of visualizations, and personal AR views.
    • Created a generic AR visualization framework and a prototype implementing novel techniques.
    • Conducted a use case walkthrough analyzing a movie dataset to demonstrate potential.

    Main Results:

    • Exemplary techniques for extending visualizations with AR were presented and related to the design space.
    • The proposed techniques address identified visualization problems, aiding in the exploration of multivariate data.
    • A prototype demonstrated the practical application and potential of the AR-enhanced visualization approach.

    Conclusions:

    • The combination of large displays and AR offers significant potential for data analysis and sense-making.
    • Contributed techniques are effective for exploring and understanding complex, multivariate datasets.
    • AR extensions to large displays represent a promising future direction for information visualization.