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What is Interaction for Data Visualization?

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    This summary is machine-generated.

    Defining interaction in data visualization is crucial for clarity. This study synthesizes community insights and human-computer interaction (HCI) principles to create a unified definition, aiming to improve visualization systems.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • The term 'interaction' in data visualization lacks a clear, agreed-upon definition, leading to ambiguity.
    • This ambiguity hinders the development of effective and innovative interaction design practices in visualization.

    Purpose of the Study:

    • To address the ambiguity surrounding 'interaction' in data visualization.
    • To synthesize a comprehensive definition of interaction for the visualization field.
    • To inspire novel interaction design practices and enhance visualization systems.

    Main Methods:

    • Synthesized an inclusive view of interaction from the visualization community, encompassing information visualization, visual analytics, and scientific visualization.
    • Incorporated input from both senior and junior visualization researchers.
    • Analyzed definitions of interaction from the field of human-computer interaction (HCI).
    • Extracted commonalities and differences between visualization and HCI perspectives on interaction.

    Main Results:

    • Identified a lack of consensual definition for 'interaction' within the data visualization community.
    • Developed a synthesized definition of interaction for visualization by integrating insights from the visualization field and HCI.
    • Established a foundation for understanding and discussing interaction in visualization.

    Conclusions:

    • A clear, consensual definition of interaction is essential for advancing data visualization.
    • The proposed definition serves as a tool to foster innovative interaction design.
    • Improved understanding of visualization interaction can lead to richer systems and empowered users.