| |  | Streefkerk, Kristy | Provenance and Annotation for Visual Exploration Systems read moreAbstract: Exploring data using visualization systems has been shown to be an extremely powerful technique. However, one of the challenges with such systems is an inability to completely support the knowledge discovery process. More than simply looking at data, users will make a semipermanent record of their visualizations by printing out a hard copy. Subsequently, users will mark and annotate these static representations, either for dissemination purposes or to augment their personal memory of what was witnessed. In this paper, we present a model for recording the history of user explorations in visualization environments, augmented with the capability for users to annotate their explorations. A prototype system is used to demonstrate how this provenance information can be recalled and shared. The prototype system generates interactive visualizations of the provenance data using a spatio-temporal technique. Beyond the technical details of our model and prototype, results from a controlled experiment that explores how different history mechanisms impact problem solving in visualization environments are presented. | 2006 |
| | | Groth, D. P. | Tracking Personal Histories for Knowledge Discovery Tasks read moreAbstract: Interactive visualizations provide an ideal setting for
exploring the use and exploitation of personal histories.
Even though visualizations leverage innate human
capabilities for recognizing interesting aspects of data, it is
unlikely that two users will follow the exact process for
discovery. This results in an inability to effectively
recreate the exact conditions of the discovery process,
which we call the knowledge rediscovery problem.
Because we cannot expect a user to fully document each of
their interactions, there is a need for visualization systems
to maintain user trace data in a way that enhances a user's
ability to communicate what they found to be interesting,
as well as how they found it. This project presents a model
for representing user interactions that articulates with a
corresponding set of annotations, or observations that are
made during the exploration. This problem is only made
more challenging when pervasive computing and
corresponding interactions across devices is factored in. | 2005 |
| | | Groth, D. P. | Information provenance and the knowledge rediscovery problem read moreAbstract: Visualizations leverage innate human capabilities for recognizing interesting aspects of data. Even if users might agree on what is interesting about a visualization, the steps that they use in the knowledge discovery process may be significantly different. This results in an inability to effectively recreate the exact conditions of the discovery process, which we call the knowledge rediscovery problem. Because we cannot expect a user to fully document each of their interactions, there is a need for visualization systems to maintain user trace data in a way that enhances a user's ability to communicate what they found to be interesting, as well as how they found it. We present a model for representing user interactions that articulates with a corresponding set of annotations, or observations that are made during the exploration. Such ability is critical to addressing the knowledge rediscovery problem, and is a fundamental component for systems that must provide information provenance. | 2004 |
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