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Principles and Tools for Collaborative Entity-Based Intelligence Analysis
March/April 2010 (vol. 16 no. 2)
pp. 178-191
Eric A. Bier, Palo Alto Research Center, Inc., Palo Alto
Stuart K. Card, Palo Alto Research Center, Inc., Palo Alto
John W. Bodnar, Science Applications International Corporation, McLean
Software tools that make it easier for analysts to collaborate as a natural part of their work will lead to better analysis that is informed by more perspectives. We are interested to know if software tools can be designed that support collaboration even as they allow analysts to find documents and organize information (including evidence, schemas, and hypotheses). We have modified the Entity Workspace system, described previously, to test such designs. We have evaluated the resulting design in both a laboratory study and a study where it is situated with an analysis team. In both cases, effects on collaboration appear to be positive. Key aspects of the design include an evidence notebook optimized for organizing entities (rather than text characters), information structures that can be collapsed and expanded, visualization of evidence that emphasizes events and documents (rather than emphasizing the entity graph), and a notification system that finds entities of mutual interest to multiple analysts. Long-term tests suggest that this approach can support both top-down and bottom-up styles of analysis.

[1] J.R. Anderson and P.L. Pirolli, “Spread of Activation,” J.Experimental Psychology: Learning, Memory and Cognition, vol. 10, pp. 791-798, 1984.
[2] B.B. Bederson, J.D. Hollan, K. Perlin, J. Meyer, D. Bacon, and G. Furnas, “Pad++: A Zoomable Graphical Sketchpad for Exploring Alternate Interface Physics,” J. Visual Languages and Computing, vol. 7, pp. 3-31, 1996.
[3] E.A. Bier, E.W. Ishak, and E. Chi, “Entity Quick Click: Rapid Text Copying Based on Automatic Entity Extraction,” Proc. Conf. Extended Abstracts of CHI 2006, pp. 562-567, 2006.
[4] E. Bier, L. Good, K. Popat, and A. Newberger, “A Document Corpus Browser for In-Depth Reading,” Proc. Joint Conf. Digital Libraries (JCDL), pp. 87-96, 2004.
[5] E. Bier, E. Ishak, and E. Chi, “Entity Workspace: An Evidence File That Aids Memory, Inference, and Reading,” Proc. IEEE Int'l Conf. Intelligence and Security Informatics, pp. 466-472, 2006.
[6] D. Billman and E.A. Bier, “Medical Sensemaking with Entity Workspace,” Proc. Conf. Human Factors in Computing Systems (CHI '07), pp. 229-232, 2007.
[7] J.W. Bodnar, Warning Analysis for the Information Age: Rethinking the Intelligence Process. Joint Military Intelligence College (JMIC), 2003.
[8] J.W. Bodnar, “Making Sense of Massive Data by Hypothesis Testing,” Proc. Int'l Conf. Intelligence Analysis, 2005.
[9] J. Heer and M. Agrawal, “Design Considerations for Collaborative Visual Analytics,” Information Visualization, vol. 7, pp. 49-62, 2008.
[10] i2 Analyst's Notebook, http:/www.i2inc.com, 2007.
[11] T. O'Connell and Y-Y. Choong, “Metrics for Measuring Human Interaction with Interactive Visualizations for Information Analysis,” Proc. Conf. Human Factors in Computing Systems (CHI '08), pp.1493-1496, 2008.
[12] P. Proulx, S. Tandon, A. Bodnar, D. Schroh, R. Harper, and W. Wright, “Avian Flu Case Study with nSpace and GeoTime,” Proc. Conf. Visual Analytics Science and Technology, pp. 27-34, 2006.
[13] P. Pirolli, S.K. Card, and M.M. Van Der Wege, “The Effects of Information Scent on Visual Search in the Hyperbolic Tree Browser,” Proc. Conf. Human Factors in Computing Systems (CHI '01), pp. 20-53, 2001.
[14] P. Pirolli and S. Card, “The Sensemaking Process and Leverage Points for Analyst Technology as Identified through Cognitive Task Analysis,” Proc. Int'l Conf. Intelligence Analysis, 2005.
[15] P. Pirolli and S.K. Card, “Information Foraging,” Psychological Rev., vol. 106, pp. 643-675, 1999.
[16] J. Stasko, C. Gorg, L. Zhicheng, and K. Singhal, “Jigsaw: Supporting Investigative Analysis through Interactive Visualization,” Information Visualization, vol. 7, pp. 118-132, 2008.
[17] J.J. Thomas and K.A. Cook, Illuminating the Path: The Research and Development Agenda for Visual Analytics. IEEE CS Press, 2005.
[18] W. Wright, D. Schroh, P. Proulx, A. Skaburskis, and B. Cort, “The Sandbox for Analysts—Concepts and Methods,” Proc. Conf. Human Factors in Computing Systems (CHI '06), pp. 801-810, 2006.

Index Terms:
User interfaces, graphical user interfaces (GUI), information search and retrieval, information filtering, information systems applications, miscellaneous, group and organization interfaces, collaborative computing, computer-supported cooperative work, Web-based interaction.
Citation:
Eric A. Bier, Stuart K. Card, John W. Bodnar, "Principles and Tools for Collaborative Entity-Based Intelligence Analysis," IEEE Transactions on Visualization and Computer Graphics, vol. 16, no. 2, pp. 178-191, March-April 2010, doi:10.1109/TVCG.2009.104
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