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Proceedings Paper

Supporting tactical intelligence using collaborative environments and social networking
Author(s): Arthur B. Wollocko; Michael P. Farry; Robert F. Stark
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Paper Abstract

Modern military environments place an increased emphasis on the collection and analysis of intelligence at the tactical level. The deployment of analytical tools at the tactical level helps support the Warfighter’s need for rapid collection, analysis, and dissemination of intelligence. However, given the lack of experience and staffing at the tactical level, most of the available intelligence is not exploited. Tactical environments are staffed by a new generation of intelligence analysts who are well-versed in modern collaboration environments and social networking. An opportunity exists to enhance tactical intelligence analysis by exploiting these personnel strengths, but is dependent on appropriately designed information sharing technologies. Existing social information sharing technologies enable users to publish information quickly, but do not unite or organize information in a manner that effectively supports intelligence analysis. In this paper, we present an alternative approach to structuring and supporting tactical intelligence analysis that combines the benefits of existing concepts, and provide detail on a prototype system embodying that approach. Since this approach employs familiar collaboration support concepts from social media, it enables new-generation analysts to identify the decision-relevant data scattered among databases and the mental models of other personnel, increasing the timeliness of collaborative analysis. Also, the approach enables analysts to collaborate visually to associate heterogeneous and uncertain data within the intelligence analysis process, increasing the robustness of collaborative analyses. Utilizing this familiar dynamic collaboration environment, we hope to achieve a significant reduction of time and skill required to glean actionable intelligence in these challenging operational environments.

Paper Details

Date Published: 28 May 2013
PDF: 10 pages
Proc. SPIE 8758, Next-Generation Analyst, 87580E (28 May 2013); doi: 10.1117/12.2015997
Show Author Affiliations
Arthur B. Wollocko, Charles River Analytics, Inc. (United States)
Michael P. Farry, Charles River Analytics, Inc. (United States)
Robert F. Stark, Charles River Analytics, Inc. (United States)


Published in SPIE Proceedings Vol. 8758:
Next-Generation Analyst
Barbara D. Broome; David L. Hall; James Llinas, Editor(s)

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