Automated Techniques to Reduce Operator Workload at the Passive ASW and Human-System Interface

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,982.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
N65538-05-M-0103
Agency Tracking Number:
N051-045-0160
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
ANACAPA SCIENCES, INC.
301 East Carrillo Street 2FL, P. O. Box 519, Santa Barbara, CA, 93102
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
053859526
Principal Investigator:
Robert Dick
Principal Scientist
(805) 966-6157
radick@anacapasciences.com
Business Contact:
Douglas Harris
Chairman
(805) 966-6157
dharris@anacapasciences.com
Research Institution:
n/a
Abstract
*The proposed research will reduce the historically high operator workload in legacy passive ASW systems that arises from grossly inefficient human-system interfaces (HSIs). These problematic HSIs create high operator workload even when automation is applied to contact detection, classification and localization (DCL). *We propose to resolve a substantive portion of the problem by leveraging off of new, innovative HSI technology that employs very high levels of display integration. This new technology - part of which is patented but freely available to the Navy - reduced operator workload in a passive DCL system by 50% - as judged by Navy SMEs. This advanced HSI technology is enabled by commercial advances in data representation, data management, and workload optimization technologies. *In Phase I of the proposed research, we will develop 5-10 major screen formats for passive ASW, each of which employs numerous innovative workload reduction HSI features and functions developed specifically for passive ASW. We will verify the feasibility of implementing these HSI formats and features within the sensor data architecture of the DD(X) Total Ship Computing Environment. And we will use Fleet ASW experts to verify the utility and usability of the formats and features for reducing operator workload in DD(X).

* information listed above is at the time of submission.

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