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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.
IEEE Transactions on Visualization and Computer Graphics
|March 17, 2025
Summary
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.
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.
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