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Colloquium - Cummings

Modeling Single Operator Supervisory Control of Multiple Heterogeneous Unmanned Aerial Vehicles
Massachusetts Institute of Technology
10/16/2008
3:30pm-4:30pm

Given the appropriate role and function allocation between automation and human operators, research has shown that it is possible for a single operator to control multiple unmanned vehicles. While previous studies have generally focused on homogeneous teams of vehicles, they have not completely addressed either the manifestation of heterogeneity in vehicle teams, or the effects of heterogeneity on operator abilities. To this end, this presentation will focus on the development of queuing-based human operator model that captures exogenous and endogenous hetereogeneous events that allows for prediction of operator performance across a wide-range of vehicle tasks, system architectures, and different operator strategies. Related unmanned vehicle and supervisory control research underway in the MIT Humans and Automation Laboratory will also be discussed.

Mary (Missy) Cummings received her BS in Mathematics from the United States Naval Academy in 1988, her MS in Space Systems Engineering from the Naval Postgraduate School in 1994, and her PhD in Systems Engineering from the University of Virginia in 2003. A naval officer and military pilot from 1988-1999, she was one of the Navy's first female fighter pilots. She is currently an Associate Professor in the Aeronautics and Astronautics Department at the Massachusetts Institute of Technology. Her previous teaching experience includes instructing for the U.S. Navy at Pennsylvania State University and as an assistant professor for the Virginia Tech Engineering Fundamentals Division. Her research interests include human interaction with autonomous vehicle systems, modeling human interaction with complex systems, decision support design for time-pressured, uncertain systems, and the ethical and social impact of technology.

Hosted by Elizabeth Bradley.
Co-sponsored by the Department of Aerospace Engineering Sciences.

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University of Colorado Boulder
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