Affect-Influenced Control of Unmanned Vehicle Systems

Award Information
Agency:
Department of Defense
Amount:
$100,000.00
Program:
SBIR
Contract:
N00014-07-M-0147
Solitcitation Year:
2006
Solicitation Number:
2006.3
Branch:
Navy
Award Year:
2007
Phase:
Phase I
Agency Tracking Number:
O063-UM7-4005
Solicitation Topic Code:
OSD06-UM7
Small Business Information
MOBILE INTELLIGENCE CORP.
33150 Schoolcraft Road, Suite 108, Livonia, MI, 48150
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
176513604
Principal Investigator
 Douglas MacKenzie
 President
 (734) 367-0430
 doug@mobile-intelligence.com
Business Contact
 Karen MacKenzie
Title: Vice President
Phone: (734) 367-0430
Email: karen@mobile-intelligence.com
Research Institution
N/A
Abstract
We propose applying recent research in cognitive models of affective behavior to create a system able to modulate the actions of unmanned vehicles in both gross and subtle ways. Using the new interface, instead of simply specifying controller parameters or cost functions, the operators will adjust affective parameters, which will influence the performance of the vehicle(s) over the life of the mission. These intuitive, high-level affective settings such as aggressiveness, stealthiness, and tenacity will allow the operator to set the mission characteristics at a very abstract level. A major thrust of this project will be to develop approaches and techniques to convey a clear and valid understanding to the operator and embody them in the form of a transparent graphical user interface and performance simulator. The software architecture will consist of two major systems, an operator interface component and an embedded control component which can be added to existing unmanned vehicle autonomy system. Both long- and short-term time-varying affective phenomena, such as traits, moods, attitudes, and emotions, will allow the system to provide performance consistent with varying situations. An initial prototype will be developed during Phase I to allow evaluating the overall feasibility of the approach.

* information listed above is at the time of submission.

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