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Beyond Tasks: An Activity Typology for Visual Analytics.

Darren Edge, Nathalie Henry Riche, Jonathan Larson

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    Visual Analytics (VA) research is complex. Activity Theory (AT) provides a framework to understand VA systems by analyzing the broader human activities they support, aiding in design for diverse users and domains.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Information Science

    Background:

    • Visual Analytics (VA) research is rapidly expanding, making a holistic understanding of its diverse systems, techniques, and applications increasingly difficult.
    • A comprehensive view is crucial for developing effective VA systems that cater to broad audiences across multiple domains.

    Purpose of the Study:

    • To interpret Visual Analytics research using Activity Theory (AT), a framework from Human-Computer Interaction.
    • To demonstrate how AT can inform the creation of activity typologies for VA, moving beyond traditional task-based approaches.
    • To establish an activity-centered design process for VA systems based on a newly synthesized typology.

    Main Methods:

    • An overview of Activity Theory (AT) is presented, highlighting its utility in analyzing the context of interactive tools within systems of activity.
    • AT is employed as an organizing framework to construct an activity typology for Visual Analytics, synthesizing existing literature.
    • The developed typology is applied to guide an activity-centered design process for VA systems.

    Main Results:

    • Activity Theory offers a robust lens for understanding the complex landscape of Visual Analytics research and practice.
    • A novel activity typology for Visual Analytics has been synthesized, organizing diverse systems and activity concepts.
    • This typology serves as a foundation for an activity-centered design approach, revealing design opportunities and challenges.

    Conclusions:

    • Activity Theory provides a valuable framework for a holistic understanding of Visual Analytics, enabling the design of more effective and broadly applicable systems.
    • The developed activity typology facilitates a structured approach to designing VA systems centered on user activities.
    • This work offers insights into the design space of Visual Analytics, identifying key tensions and opportunities for future research and development.