AutoCAS: Automated Communications Analysis System for use in Military Synthetic Environment Exercises

Award Information
Department of Defense
Office of the Secretary of Defense
Award Year:
Phase I
Agency Tracking Number:
Solicitation Year:
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Small Business Information
12 Gill Street , Suite 1400, Woburn, MA, 01801
Hubzone Owned:
Minority Owned:
Woman Owned:
Principal Investigator:
Jared Freeman
Principal Cognitve Scient
(202) 842-1548
Business Contact:
Margaret Clancy
Chief Financial Officer
(781) 496-2415
Research Institution:
Effective communications are essential in military operations in urban terrain (MOUT). Leaders must coordinate distributed squads of soldiers in hostile, urban battlegrounds through communication. However, though verbal communications are easy to capture,it traditionally takes days or weeks to analyze and assess this valuable data. Thus, communications analysis has become the province of research. Communications data are rarely available for use in assessment and training of soldiers. The AutoCAS PhaseII vision is a system that automates communications analysis through a combination team performance science, voice recognition technology, and automated text classification techniques to provide training and assessment feedback for use in AAR settings toimprove the communication performance of teams of MOUT dismounted soldiers. In our Phase I work, we tested new science and technology that dramatically accelerates communications analyses, making it possible to debrief communications within minutes of thecompletion of a MOUT training scenario. In Phase II we will develop measures of communications effectiveness and a system to automate the processing of those measures for use in synthetic environment infantry leadership training. Phase II will culminatewith a demonstration of AutoCAS in support of an infantry MOUT training exercise using the Squad Synthetic Environment at Ft. Benning. The work we propose to conduct in Phase II benefits soldiers, trainers, ARI, and OSD. MOUT soldiers will receivereliable assessment and informative feedback concerning the quality and content of their verbal communications. AutoCAS will enable MOUT trainers to rapidly and objectively assess communications performance, and to gain insights into the informationmanagement and decision making processes on which mission success depends. ARI Researchers will benefit from AutoCAS because it will lower the cost and increase the speed of coding and analyzing communications data. AutoCAS will make it easier and fasterto test hypotheses, thus accelerating scientific advances. The Office of the Secretary of Defense / Director of Defense Research and Engineering. (OSD/DDR&E) will benefit from increased speed of scientific advance, and from the availability of a tool thatcan be adapted to improve research and training across services (e.g., in Marines and Army MOUT settings) and across domains (e.g., MOUT, close air support, and civilian crowd control).

* information listed above is at the time of submission.

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