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Provenance and annotation for visual exploration systems.

Dennis P Groth¹, Kristy Streefkerk

¹Indiana University School of Informatics, Bloomington 47408, USA. dgroth@indiana.edu

IEEE Transactions on Visualization and Computer Graphics

|November 1, 2006

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This study introduces a model for recording and annotating user explorations in data visualization systems. This provenance tracking enhances knowledge discovery and problem-solving by enabling recall and sharing of visualization histories.

Area of Science:

Computer Science
Information Visualization
Human-Computer Interaction

Background:

Data visualization systems are powerful for exploration but often lack support for the full knowledge discovery process.
Users create static records (hard copies) of visualizations for annotation, dissemination, and memory augmentation.
Existing systems struggle to capture and utilize the dynamic history of user interactions within visualization environments.

Purpose of the Study:

To present a model for recording user exploration histories in visualization environments.
To augment these histories with user annotation capabilities.
To demonstrate the recall and sharing of provenance information through a prototype system.

Main Methods:

Development of a model for capturing user exploration provenance.

Related Experiment Videos

Implementation of a prototype system with annotation features.

Utilizing spatio-temporal techniques for interactive visualization of provenance data.

Conducting a controlled experiment to evaluate the impact of history mechanisms on problem-solving.

Main Results:

A prototype system successfully demonstrates the recall and sharing of annotated visualization histories.
Interactive visualizations of provenance data were generated using spatio-temporal techniques.
A controlled experiment provided insights into how different history mechanisms affect problem-solving in visualization.

Conclusions:

Recording and annotating user exploration history is crucial for enhancing knowledge discovery in data visualization.
The proposed model and prototype offer a viable approach for managing and utilizing visualization provenance.
History mechanisms significantly impact user problem-solving effectiveness within visualization environments.