Information Delivery and Display for Shared Awareness in the Net Centric Battlespace

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-07-C-0214
Agency Tracking Number: 05SB2-0107
Amount: $898,981.00
Phase: Phase II
Program: SBIR
Awards Year: 2007
Solitcitation Year: 2005
Solitcitation Topic Code: SB052-009
Solitcitation Number: 2005.2
Small Business Information
1221 E. Broadway, Suite 110, Oviedo, FL, 32765
Duns: 075104708
Hubzone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 John Stanney
 (407) 706-0977
Business Contact
 Kelly Hale
Title: Director, Human Systems I
Phone: (407) 706-0977
Research Institution
Intelligence analysts are faced with the demanding tasks of identifying suspicious patterns in large volumes of complex, disparate information sources and predicting numerous possible outcomes based on perceived patterns. The challenge is in transforming information from these unstructured and massive collections into small and precise chunks suitable for reasoning. This effort will develop the Advanced Neurophysiology for Intelligence Text Analysis (ANITA) system that utilizes the neurophysiological approach developed in Phase I to assist intelligence analysts in achieving profound improvements in their ability to objectively capture information of interest to their current hypotheses or focus. The ANITA system will include electroencephalogram (EEG), eye-tracking, and heart rate technology to capture points of interest during the forging process in text analysis, and will display collected snippets (both conscious and unconscious) into a virtual shoebox application where the information snippets are organized, associated with each other and logical reasoning is visually supported to better form hypotheses and reach conclusions. By monitoring decision-making processes through (neuro-)physiological sensors and implementation of real-time strategies for mitigation of early evidence rejection, proper and thorough analysis of all information of ‘interest’ will be ensured, occurrence of biases reduced and the reasoning process supported.

* information listed above is at the time of submission.

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