Proactive human-computer collaboration for information discovery

Phil DiBona; Andrew Shilliday; Kevin Barry

doi:10.1117/12.2222805

12 May 2016 Proactive human-computer collaboration for information discovery

Phil DiBona, Andrew Shilliday, Kevin Barry

Proceedings Volume 9851, Next-Generation Analyst IV; 985102 (2016) https://doi.org/10.1117/12.2222805
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

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.

Citation Download Citation

Phil DiBona, Andrew Shilliday, and Kevin Barry "Proactive human-computer collaboration for information discovery", Proc. SPIE 9851, Next-Generation Analyst IV, 985102 (12 May 2016); https://doi.org/10.1117/12.2222805

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