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Related Experiment Video

Updated: Jun 13, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

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ProvenanceWidgets: A Library of UI Control Elements to Track and Dynamically Overlay Analytic Provenance.

Arpit Narechania, Kaustubh Odak, Mennatallah El-Assady

IEEE Transactions on Visualization and Computer Graphics

|September 9, 2024

Summary

ProvenanceWidgets is a new JavaScript library that helps developers track user interactions with UI elements. This tool enhances data visualization by providing in situ provenance overlays, saving time and screen space.

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Area of Science:

Computer Science
Human-Computer Interaction
Software Engineering

Background:

Tracking user interactions (provenance) in analytical systems is crucial for understanding data exploration.
Existing methods for provenance tracking can be cumbersome, requiring significant screen space and user effort.

Purpose of the Study:

To introduce ProvenanceWidgets, a novel JavaScript library for creating interactive UI control elements.
To enable dynamic, in situ overlays of user analytic provenance within applications.

Main Methods:

Designed modular UI control elements (radio buttons, checkboxes, dropdowns) to track interaction frequency and recency.
Developed visual overlays to display aggregated summaries and detailed temporal histories of user interactions.
Recreated three existing widget libraries (Scented Widgets, Phosphor objects, Dynamic Query Widgets) to demonstrate capability.

Main Results:

ProvenanceWidgets effectively enables developers to implement custom provenance-tracking applications.
Evaluated the library's expressiveness and effectiveness through case studies with visualization developers.
Demonstrated that in situ overlays save screen space and reduce the effort needed to access provenance information.

Conclusions:

ProvenanceWidgets provides an effective and efficient solution for integrating analytic provenance tracking into user interfaces.
The open-source library facilitates the development of custom provenance-based systems for data visualization and analysis.