DataPrism: a tool for visualizing multimodal data

Authors:
Adam S. Fouse;James D. Hollan
Affiliations:
University of California, San Diego, La Jolla, CA;University of California, San Diego, La Jolla, CA
Venue:
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research
Year:
2010

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Abstract

We present DataPrism, a new interactive visualization tool to aid analysis of multimodal activity data. DataPrism enables analysts to visualize, annotate, and link multiple time-based data streams, including video, log files, and paper-based digital notes. Automated analysis is supported through a plug-in mechanism. A usage scenario is employed to describe DataPrism's current facilities.