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 composed of a collection of analyst associates called “Knowledge Associates for Novel Intelligence (KANI).” One of Battelle'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.
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References
1.
AllenJ.FergusonG.StentA. (2001, Jan. 14–17). An architecture for more realistic conversational systems. Paper presented at the Intelligent User Interfaces (IUI'01), Santa Fe, NM.
2.
BiermannA. W.GuinnC. I.HippD. R.SmithR. W. (1993, March). Efficient collaborative discourse: A theory and its implementation. Paper presented at the ARPA Human Language Technology Workshop.
3.
ChinG.RossonM.B.CarrollJ.M. (1997). Participatory Analysis: Shared Development of Requirements from Scenarios. In Proceedings of CHV97 Conference (March 22–27, Atlanta, GA), ACM, New York, pp. 162–169.
CohenP. R.LevesqueH. J. (1994a). Preliminaries to a collaborative model of dialogue. Speech Communication, 15, 265–214.
6.
DesimoneR.CharlesD. (2002). Towards an ontology for intelligence analysis and collection management. In Proceedings of the Second International Conference on Knowledge Systems for Coalition Operations. April 2002. Tolouse, France.
7.
FeinerS. K.McKeownK. R. (April 1991). COMET: Generating Coordinated Multimedia Explanations. In Proceedings of the 1991 ACM Conference on Human Factors in Computing Systems (CHF'91), pp. 449–450.
8.
GreitzerF.BadalamenteR. (2002). Research and Development of Intelligence Analysis Tools. Unpublished technical presentation. Pacific Northwest National Laboratory.
9.
HeuerRichards J.Jr. (1999). Psychology of Intelligence Analysis. Center for the Study of Intelligence, Central Intelligence Agency, Washington, DC.
10.
JonesP.M. (1998). CoRAVEN: Modeling and Design of a Multimedia Intelligent Infrastructure for Collaborative Intelligence Analysis. In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. San Diego, CA.
11.
KobsaA.WahlsterW. (1989). User Models in Dialog Systems. Berlin, Germany: Springer-Verlag.
12.
KrizanL. (1999). Intelligence Essentials for Everyone. Joint Military Intelligence College: Washington, DC.
13.
McDowellD. (1997). Strategic Intelligence & Analysis. The Intelligence Study Center. Pambula, NSW, Australia.
14.
MullerM.J.HaslwanterJ.H.DaytonT. (1997). Participatory Practices in the Software Lifecycle. In HeianderM.LandauerT.K.PrabhuP.Handbook of Human-Computer Interaction, Elsevier Science B.V., Amsterdam, pp. 255–297.
15.
MackinlayJ. D. (1986). Automating the design of graphical representations of relational information. ACM Transactions on Graphics, 5 (2), 110–141.
16.
NovickD. G.SuttonS. (1997, March 24–26). What is mixed-initiative interaction? Paper presented at the AAAI Spring Symposium on Computational Models for Mixed Initiative Interaction, Stanford University.
17.
PattersonE.S.WoodsD.DTinappleD.RothE.M, (2001). Using cognitive task analysis (CTA) to seed design concepts for intelligence analysis under data overload. In Proceedings of the Human Factors and Ergonomics Society 45th Annual Meeting. Minneapolis, MN.
18.
Perez-QuiñonesM.SibertJ. L. (1996, Apr. 14–18). A collaborative model of feedback in human-computer interaction. In Proceedings of 1996 ACM Conference on Human Factors in Computing Systems (CHI'96).
19.
RothS. F.HefleyW. (1993). Intelligent multimedia presentation systems: Research and principles. In MayburyM.Intelligent Multimedia Interfaces (pp. 13–58. Menlo Park, CA: AAAI Press/MIT Press.
20.
SchulerD.NamiokaA. (1993). Participatory Design: Principles and Practices. Lawrence Erlbaum Associates, Hillsdale, NJ.
21.
SpradleyJ. (1980). Participant Observation, Holt, Rinehart and Winston, New York.
22.
StraussA. (1987). Qualitative Analysis for Social Scientists, Cambridge University Press, Cambridge, MA.
23.
ThurmanD.A. (1996). The interactive modeling and control methodology. In Proceedings of the 40th Annual Meeting of the Human Factors and Ergonomics Society. Philadelphia, PA (pp. 289–294).
24.
ThurmanD.A.ChappellA.R.MitchellC.M. (1998). An enhanced architecture for OFMspert: A domain-independent system for intent inferencing. In Proc. of the 1998 IEEE International Conference on Systems, Man, & Cybernetics. San Diego, CA.
