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    VISTILES enables collaborative multivariate data exploration using mobile devices. This framework distributes visualization views across devices, allowing flexible layouts and interactions for dynamic data analysis.

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    Area of Science:

    • Human-Computer Interaction
    • Information Visualization
    • Data Science

    Background:

    • Traditional desktop interfaces limit collaborative data exploration.
    • Mobile devices offer potential for dynamic, user-defined, and co-located data analysis.
    • Existing frameworks lack effective coordination of multiple views across mobile devices.

    Purpose of the Study:

    • To introduce VISTILES, a conceptual framework for distributed visualization views on mobile devices.
    • To enable coordinated and multiple views (CMV) interaction across a set of mobile devices.
    • To support co-located collaborative data exploration with individualized workflows.

    Main Methods:

    • Developed a conceptual framework (VISTILES) for distributing and coordinating visualization views on mobile devices.
    • Designed dynamic, flexible layouts for CMV distribution across devices.
    • Created an interaction concept for smart adaptations and combinations of visualizations using side-by-side device arrangements.
    • Implemented a web-based prototype to demonstrate the framework's practical application.

    Main Results:

    • Users can combine mobile devices and arrange them in meaningful spatial layouts for data exploration.
    • The framework facilitates dynamic and flexible layouts for coordinated and multiple views.
    • A prototype demonstrated practical multivariate data exploration using the VISTILES concepts.
    • A preliminary user study informed the design of the concepts and prototype.

    Conclusions:

    • VISTILES offers a novel approach to multivariate data exploration through distributed mobile device interfaces.
    • The framework enhances collaborative data analysis by supporting flexible, user-defined spatial arrangements of visualizations.
    • Mobile devices can be effectively utilized for sophisticated, co-located information visualization tasks.