Cognition-driven Tool for Visual Countermeasure Evaluation

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$743,055.00
Award Year:
1998
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
37077
Agency Tracking Number:
37077
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
55 Wheeler St, Cambridge, MA, 02138
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Magnus S. Snorrason
(617) 491-3474
Business Contact:
() -
Research Institute:
n/a
Abstract
We propose to design a model of visual target acquisition that can predict human performance in detecting low-contrast targets in complex scenes. This model will build on current state-of-the-art computational models of early human vision and visual search, and use proven cognitive modeling methods (belief networks for situation assessment and expert systems for knowledge-based reasoning) to model some of the top-down cognitive effects that come into play in real viewing situations. Recognizing that early vision does not accept symbolic top-down inputs because it does not have the capability to process symbolic data, we will implement the top-down effects as a modulation of various visual functions by changing the values of the free parameters of those functions (such as parameters for relative weighting of processing channels). A limited software prototype will be implemented to demonstrate model feasibility, to be followed up in Phase II with a full scale implementation and validation through psychophysics experiments. The proposed model enables the development of design tools that predict the impact of new designs on operator/system performance, before expensive real-time operator-in-the-loop simulation studies are conducted. Such tools have great potential in designing systems for automatic target cueing; medical image anomaly cueing; car collision avoidance; and highway safety.

* information listed above is at the time of submission.

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