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Contextual Anomaly Management Interface (CAMI) for Autonomous System Supervision

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-13-P-1127
Agency Tracking Number: O123-AU1-4065
Amount: $149,999.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: OSD12-AU1
Solicitation Number: 2012.3
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-05-14
Award End Date (Contract End Date): 2013-11-13
Small Business Information
9180 Brown Deer Road
San Diego, CA -
United States
DUNS: 131182388
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Maia Cook
 Senior Scientist
 (858) 535-1661
Business Contact
 James Callan
Title: President
Phone: (858) 535-1661
Research Institution

Unmanned systems are taking on an increasing role in the U.S. military. Monitoring unmanned vehicles, sensors, and events in dynamic environments is an intense and demanding task. Today"s unmanned systems provide limited support for detecting problems and anomalies, and deliver alerts that are generally uninformative and lack context. Given their existing limitations and shortfalls, it is unlikely that today"s technologies and display metaphors will scale to accommodate the increased demands of multi-vehicle and mission management in the future. Building on research results and lessons learned, we propose a novel approach and interface (CAMI: Contextual Anomaly Management Interface) for anomaly management to support effective unmanned systems supervision. PSE has three key elements in place to ensure successful concept development and transition: (1) task and display requirements for anomaly management, (2) an established design process to translate requirements into design, and (3) an established and viable transition plan and customer. CAMI integrates notions from ongoing efforts with innovative concepts for supporting human supervision of automation and anomaly management in a way that respects and balances the strengths and limitations of both the human operator and the inherent capabilities of automation.

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

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