Adaptable Cognitive Decision Aids For Embedded Weapon Applications

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$119,957.00
Award Year:
2001
Program:
SBIR
Phase:
Phase I
Contract:
DAAE30-01-C-1028
Award Id:
52711
Agency Tracking Number:
A002-1872
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Gwynedd Office Park, Lower Gwynedd, PA, 19002
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
161162995
Principal Investigator:
KenGraves
Ptincipal Investigator
(858) 618-1064
ken_graves@chiinc.com
Business Contact:
PhilRollhauser
Manager, Contracts
(215) 542-1400
phillip_rollhauser@chiinc.com
Research Institute:
n/a
Abstract
The reduction of crew sizes in new Army systems such as Future Combat System (FCS) is threatening to overload the cognitive abilities of the remaining operators. Since past technology advances have already served to automate many of the rote proceduraltasks contributing to crew workload, much of the remaining improvement must come through application of automation and aiding for the more complex cognitive tasks, such as interpretation of trends and patterns. A need exists for developing cognitivedecision aiding capabilities that reduce cognitive workload of combat systems crews.Proposed effort will develop a cognitive decision aid for FCS addressing the function of tactical trends and patterns analysis for prediction of enemy actions based oncurrent states. Cognitive modeling techniques will be employed first to understand user requirements, then to create a suitable decision aid design and to implement the aid using the iGENT cognitive modeling tool. It will be scaleable and reusable inaccordance with ARDEC's component-based reference architecture concepts and will conform to Joint Technical Architecture-Army (JTAA), Appendix F. The Phase I prototype will include an executable cognitive model of the trends and patterns analysis process,implemented as a

* information listed above is at the time of submission.

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