Under the Novel Intelligence from Massive Data program, Battelle is working in partnership with Stanford University’s Knowledge Systems Laboratory and IBM’s T.J. Watson Research Center to develop a suite of technologies for knowledge discovery, knowledge extraction, knowledge representation, automated reasoning, and human information interaction. We envision an integrated analytic environment comprised of a collection of analyst associates called “Knowledge Associates for Novel Intelligence (KANI).” One of Batelle’s contributions to this environment is the design of an Information Interaction Associate, through which analysts will interact with other knowledge associates in KANI and actively construct and manipulate explicit models of the situations, events, actions, and scenarios that they analyze and hypothesize about during an analysis task. This paper reports on efforts to date towards the design of this component and efforts to develop and encode of a model of the intelligence analysis process.
Revised: August 16, 2010 |
Published: October 13, 2003
Citation
Thurman D.A., A.J. Cowell, A. Andrew, and A.R. Chappell. 2003.Human-information interaction with knowledge associates. In Proceedings of the Human Factors and Ergonomics Society 47th Annual Meeting, 1029-1033. Santa Monica, California:Human Factors and Ergonomics Society. PNWD-SA-6059.