Tracking User Interactions Within Visualizations

Abstract

We present a model and prototype system for tracking user interactions within a visualization. The history of the interactions are exposed to the user in a way that supports non-linear navigation of the visualization space. The interactions can be augmented with annotations, which, together with the interactions, can be shared with other users and applied to other data in a seamless way. The techniques constitute a novel approach for documenting information provenance.