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Agent-based Reduction of Information Density (ARID)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-07-C-6754
Agency Tracking Number: F061-031-2528
Amount: $749,995.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF06-031
Solicitation Number: 2006.1
Timeline
Solicitation Year: 2006
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-02-20
Award End Date (Contract End Date): 2009-03-20
Small Business Information
12152 Windsor Hall Way
Herndon, VA 20170
United States
DUNS: 949183701
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Kevin Blenkhorn
 Director of Unmanned Syst
 (703) 236-6993
 Kevin.Blenkhorn@21csi.com
Business Contact
 Stuart Aldridge
Title: VP, Deputy Chief Technolo
Phone: (402) 505-7887
Email: stuart@21csi.com
Research Institution
N/A
Abstract

Information overload and cluttered user interfaces cause decreased situational awareness and lowered performance of the human operators. Irrelevant data increases searching times for tasks requiring the identification of threats, causing delayed decisions. Cognitive burden on the user increases as displays become more cluttered, which results in increased operator stress leading to slower decisions. 21st Century Systems, Incorporated (21CSI) is pleased to propose to continue research and develop an intelligent agent-based system for the automatic de-cluttering of representational UAV command and control interfaces. 21CSI¡¦s concept, entitled ARID or Agent-based Reduction of Information Density, applies an innovative design to assist in the prevention of information overload caused by overly information-dense user interfaces. A set of intelligent agents will reduce the cognitive load imposed upon a human operator by de-emphasizing those aspects of a display that can be inferred as less-important to the mission goals. ARID agents will be based upon knowledge-based reasoning and feedback learning mechanisms to deliver a significant improvement over the simplistic rules-based systems that represent the current state of the art. ARID agents are designed to address intelligently decluttering the user interface, adapting to user activities, and providing alerts that focus on the priority of the event.

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

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