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Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics.

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    Summary
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    Uplift enhances casual collaborative visual analytics for complex domains like campus microgrids. This system uses 3D models and AR to engage diverse experts in data exploration and decision-making.

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    Area of Science:

    • Human-Computer Interaction
    • Data Visualization
    • Collaborative Systems

    Background:

    • Traditional visual analytics often requires formal settings and expert users.
    • Many professional domains need quick data exploration support for diverse stakeholders.
    • Casual collaborative scenarios demand intuitive interfaces and engaging features.

    Purpose of the Study:

    • To present Uplift, a novel prototype for casual collaborative visual analytics.
    • To support data exploration in complex domains with distributed knowledge.
    • To co-design a system with local stakeholders for a campus microgrid.

    Main Methods:

    • Elicitation workshop with building management team to understand knowledge distribution.
    • Development of Uplift prototype combining 3D tabletop display, tangible interaction, and AR visualizations.
    • Evaluation with building management and energy domain experts.

    Main Results:

    • Uplift serves as an engaging backdrop for casual collaboration.
    • The system effectively brings together diverse knowledge holders.
    • Potential identified for revealing complex interactions across structural, operational, and financial aspects.

    Conclusions:

    • Uplift demonstrates success in supporting casual collaborative visual analytics.
    • The system has potential for other domains requiring collaborative discussion or demonstration of models.
    • Facilitates understanding of complex interdependencies for high-level stakeholders.