Patricia L. McDermott
Papers
7
Total Citations
140
H-Index
3
About
Patricia L. McDermott is a leading researcher in human-robot interaction and training systems, with a focus on optimizing operator performance in complex, real-world environments. Her work addresses critical challenges in unmanned systems, particularly how communication latency, bandwidth constraints, and display design affect human decision-making and situation awareness. In her highly cited 2006 study (76 citations), she investigated the effects of communication delays on robotic control in military settings, providing foundational insights for teleoperation under degraded network conditions. McDermott also advanced judgment and decision-making research by applying the Analytic Hierarchy Process to examine how framing and time pressure influence consistency in multiattribute tasks (47 citations). Her contributions extend to training methodology, where she explored part-task training approaches for simulated and realistic unmanned system operations. Through studies on frame rate versus resolution tradeoffs and map display details, she has provided practical guidance for interface design that enhances operator effectiveness. McDermott’s work is instrumental in bridging the gap between human cognitive capabilities and the demands of remote robotic control, making her a key figure in the evolution of human-robot teaming.
Research Focus
Key Achievements
Top Papers
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- 3Part Task Training Methods in Simulated and Realistic Tasks7 citations · 2012
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