Proactive human-computer collaboration for information discovery
Phil DiBona, Andrew Shilliday, Kevin P. Barry · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
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.