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Related Experiment Video

Updated: May 6, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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TraVIS: A User Trace Analyzer to Support User-Centered Design of Visual Analytics Solutions.

Matteo Filosa, Alexandra Plexousaki, Matteo Di Stadio

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    Summary
    This summary is machine-generated.

    TraVIS quantifies user feedback for Visual Analytics (VA) design, supporting User-Centered Design (UCD) by analyzing user traces to identify and fix design issues effectively.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction

    Background:

    • Visual Analytics (VA) is crucial for scientific data analysis, but designing effective VA solutions requires user-centered approaches.
    • Current User-Centered Design (UCD) methods for VA often lack quantitative tools for analyzing user feedback and guiding design iterations.

    Purpose of the Study:

    • To introduce TraVIS, a novel Visual Analytics solution designed to quantitatively analyze user interaction traces.
    • To provide designers with tools to identify ineffective interaction paths and evaluate design changes in VA systems.

    Main Methods:

    • TraVIS allows loading web-based VA systems to collect and analyze user traces.
    • Designers can relate collected traces to specific tasks and assess their completion.
    • The system supports hypothesizing design corrections and evaluating their impact.

    Main Results:

    • Evaluation with 11 VA systems and 5 expert users demonstrated TraVIS's effectiveness.
    • TraVIS successfully identified design problems and facilitated UCD processes.
    • The tool aids in understanding user behavior and optimizing VA system design.

    Conclusions:

    • TraVIS offers a quantitative approach to support User-Centered Design in Visual Analytics.
    • The tool empowers designers to iteratively improve VA solutions based on empirical user data.
    • TraVIS enhances the efficiency and effectiveness of designing user-centric VA systems.