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Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
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Suggested Interactivity: Seeking Perceived Affordances for Information Visualization.

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    This summary is machine-generated.

    Researchers explored ways to suggest interactivity in online visualizations. Only one visual cue (SI3) successfully encouraged users to interact, likely due to providing clear feedforward.

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    Area of Science:

    • Human-Computer Interaction
    • Information Visualization
    • Web Design

    Background:

    • Online visualizations often lack clear indicators of interactivity.
    • Users may not discover or engage with interactive features without explicit cues.
    • Understanding how to design for perceived interactivity is crucial for effective data communication.

    Purpose of the Study:

    • To investigate methods for suggesting interactivity in online visualizations embedded with text.
    • To establish a design space for Suggested Interactivity (SI) cues.
    • To evaluate the effectiveness of specific SI cues in encouraging user interaction.

    Main Methods:

    • Conducted three experiments on Amazon's Mechanical Turk to assess the need for interactivity cues.
    • Surveyed 382 websites featuring HTML5 and visualizations to define a design space for SI.
    • Designed and tested three SI cues for bar charts embedded with text, measuring user interaction.

    Main Results:

    • Identified a need for methods to suggest interactivity in online visualizations.
    • Developed a design space for Suggested Interactivity (SI) based on web survey data.
    • Found that only one of the three designed SI cues (SI3) significantly increased user interaction with visualizations.

    Conclusions:

    • Suggested Interactivity (SI) cues can effectively guide user engagement with online visualizations.
    • The SI3 cue was successful in promoting interaction, hypothesized to be due to its provision of feedforward.
    • Designing effective visual cues is essential for enhancing the usability and discoverability of interactive data visualizations.