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    Summary
    This summary is machine-generated.

    Narvis is a new tool that helps teachers explain complex data visualizations to students. It simplifies the creation of tutorials by breaking down visualizations into components for easier understanding.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • Modern data visualization systems present complex designs that are challenging for non-experts to understand.
    • Existing presentation tools lack specific features for explaining intricate visual data designs.

    Purpose of the Study:

    • To introduce Narvis, a slideshow authoring tool specifically designed to aid in explaining data visualizations to non-experts.
    • To address the need for tailored tools that facilitate the understanding of complex visual data.

    Main Methods:

    • Conducted requirement analysis through discussions with teachers (visualization experts) and students (non-experts).
    • Designed and implemented Narvis based on identified user needs, focusing on hierarchical component breakdown of visualizations.
    • Integrated features for automatic component detection, organization, and sequential explanation within slideshows, including templates for annotations and animations.

    Main Results:

    • Narvis facilitates the organization of data visualization components for sequential explanation in tutorials.
    • The tool provides templates to enhance the efficiency of creating explanatory slideshows with annotations and animations.
    • Qualitative analysis of the authoring experience and preliminary evaluation of generated slideshows were conducted.

    Conclusions:

    • Narvis offers a specialized solution for authoring educational content on data visualization for non-expert audiences.
    • The tool's component-based approach and authoring aids can improve the clarity and efficiency of data visualization tutorials.