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Optimizing Human-Automation Team Workload through a Non-Invasive Detection System

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: D17PC00167
Agency Tracking Number: D16C-003-0020
Amount: $155,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: ST16C-003
Solicitation Number: 2016.0
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-04-07
Award End Date (Contract End Date): 2018-07-09
Small Business Information
215 Parkway North
Waterford, CT 06385
United States
DUNS: 077317766
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. James McCarthy
 Principal Investigator
 (937) 429-9711
Business Contact
 Ms. Jean Miceli
Phone: (860) 326-3787
Research Institution
 University of North Dakota
 Ms. Tina Sackett
 (701) 777-4154
 Nonprofit College or University

In this project, Sonalysts will team with the University of North Dakota to establish the feasibility of a deployable, unobtrusive suite of sensors and data processing approaches collectively known as Cognitively-Oriented Physiological Indicators of Load, Operational performance, and Tension (CO-PILOT). CO-PILOT will provide real-time indicators of operator state that can be used to inform adaptive automation systems. The multi-dimensional nature of CO-PILOT will increase its predictive reliability and diagnostic accuracy. Its open system architecture will allow it to be dropped into a variety of systems and promote ease of integration. In Phase I, we will identify candidate measures for CO-PILOT and explore issues related to system architecture and evaluation. In Phase II, we will evaluate the candidate measures to identify the most efficient assessment set. With this set in hand, we will apply CO-PILOT to an authentic problem and illustrate its ability to enhance performance. In Phase III, we will integrate CO-PILOT with operational and/or training systems.

* Information listed above is at the time of submission. *

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