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Proceedings Paper

Proactive human-computer collaboration for information discovery
Author(s): Phil DiBona; Andrew Shilliday; Kevin Barry
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Paper Abstract

Lockheed Martin Advanced Technology Laboratories (LM ATL) is researching methods, representations, and processes for human/autonomy collaboration to scale analysis and hypotheses substantiation for intelligence analysts. This research establishes a machinereadable hypothesis representation that is commonsensical to the human analyst. The representation unifies context between the human and computer, enabling autonomy in the form of analytic software, to support the analyst through proactively acquiring, assessing, and organizing high-value information that is needed to inform and substantiate hypotheses.

Paper Details

Date Published: 12 May 2016
PDF: 15 pages
Proc. SPIE 9851, Next-Generation Analyst IV, 985102 (12 May 2016); doi: 10.1117/12.2222805
Show Author Affiliations
Phil DiBona, Lockheed Martin Advanced Technology Labs. (United States)
Andrew Shilliday, Lockheed Martin Advanced Technology Labs. (United States)
Kevin Barry, Lockheed Martin Advanced Technology Labs. (United States)


Published in SPIE Proceedings Vol. 9851:
Next-Generation Analyst IV
Barbara D. Broome; Timothy P. Hanratty; David L. Hall; James Llinas, Editor(s)

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