Mission Displays for Autonomous Systems (MiDAS)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$100,000.00
Award Year:
2005
Program:
STTR
Phase:
Phase I
Contract:
N00014-05-M-0199
Agency Tracking Number:
N054-017-0279
Solicitation Year:
2005
Solicitation Topic Code:
N05-T017
Solicitation Number:
n/a
Small Business Information
APTIMA, INC.
12 Gill Street, Suite 1400, Woburn, MA, 01801
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Michael Linegang
Human Factors Analyst
(202) 842-1548
linegang@aptima.com
Business Contact:
Margaret Clancy
Chief Financial Officer
(781) 496-2415
clancy@aptima.com
Research Institution:
UNIV. OF IOWA
William F Decker
2130 Seamans Center, Dept. of Mechanical and Indust
Iowa City, IA, 52242
(319) 335-3899
Nonprofit college or university
Abstract
We propose producing the MiDAS (Mission Displays for Autonomous Systems) interface designed to exploit existing automation capabilities of unmanned vehicles and improve future user interfaces in unmanned vehicles using an automated control system. Our technical approach features an innovative concept: using a Cognitive Work Analysis (CWA) approach to provide the structure for our design of the MiDAS interface so that it is invariant across different types of unmanned vehicles. This analysis would include an assessment of existing automation technologies for unmanned vehicle systems in order to map those parameters of human decision-making to data input requirements and data output capabilities of developed automation technologies. Phase I will consist of four tasks: 1) a Cognitive Work Analysis of the IA system interface; 2) a definition of the UxV operator requirements; 3) a prototype MiDAS interface design; 4) evaluation of the MiDAS interface, and 5) a plan to apply multi-modality to the UI (option task). In Phase II, the prototype MiDAS interface will be further developed for functioning in a more dynamic and unstructured environment, and integrated into a medium-fidelity simulation environment coupled with sufficient autonomy components to evaluate its functioning.

* information listed above is at the time of submission.

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