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    Embedded data representations integrate data with physical spaces. This study explores situated and embedded displays, defining physical data referents and analyzing design challenges for future applications.

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    Area of Science:

    • Data Visualization
    • Human-Computer Interaction
    • Ubiquitous Computing

    Background:

    • Emerging technologies enable in-context data display.
    • Existing research on embedded data representations is limited.
    • The terminology and trade-offs of these representations are underexplored.

    Purpose of the Study:

    • Formalize the concept of physical data referents.
    • Differentiate between situated and embedded data representations.
    • Explore design considerations for embedded data.

    Main Methods:

    • Defined physical data referents and their relationship to representations.
    • Differentiated situated (proximal) and embedded (coincident) displays.
    • Analyzed examples from visualization, ubiquitous computing, and art.

    Main Results:

    • Introduced a framework for understanding embedded data representations.
    • Identified the roles of spatial indirection, scale, and interaction.
    • Examined trade-offs between non-situated, situated, and embedded displays.

    Conclusions:

    • Highlighted design challenges for embedded data representations.
    • Suggested future research directions and applications.
    • Emphasized the need for a common language to describe these representations.