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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • Visualization design commonly uses generative tools (e.g., D3, Processing) followed by drawing tools (e.g., Adobe Illustrator, Inkscape).
    • Current workflows are often one-way, making data-driven revisions difficult after exporting to drawing tools.

    Purpose of the Study:

    • To propose a bridge model for bidirectional workflow in visualization design.
    • To enable iterative, data-driven modifications by allowing designers to return to generative tools from drawing tools.

    Main Methods:

    • Recasting the iteration challenge as a merge problem, akin to document reconciliation.
    • Developing Hanpuku, a tool that bridges D3 scripts and Adobe Illustrator.

    Main Results:

    • Demonstrated iterative visualization creation using Hanpuku, showcasing workflow flexibility.
    • Presented examples illustrating the practical application of the bridge model.

    Conclusions:

    • The proposed bridge model facilitates a more flexible and iterative visualization design process.
    • The approach is generalizable to other visualization tools beyond D3 and Illustrator.