Detecting Changes in User Behavior to Understand Interaction Provenance during Visual Data Analysis

In this research, we aim to understand how data-driven techniques can automatically identify changes in user behavior (inflection points) based on user interaction logs collected from eye tracking and mouse interactions.

Results and Challenges in Visualizing Analytic Provenance of TextAnalysis Tasks Using Interaction Logs

This paper explores the use of interaction logs to generate LDA based summaries of an analyst’s interest based on interactions with specific data items in a text analysis scenario.

ProvThreads: Analytic Provenance Visualization and Segmentation

We introduce ProvThreads, a visual analytics approach that incorporates interactive topic modeling outcomes to illustrate relationships between user interactions and the data topics under investigation.

Interaction Provenance

Exploring how users use visualizations and switch between contexts.