Paula J. Durlach
Papers
4
Total Citations
108
H-Index
4
About
Paula J. Durlach is a pioneering researcher in human-robot interaction and military cognitive engineering, whose work has fundamentally shaped how operators manage unmanned systems in complex environments. Her most influential study (85 citations) examined how human operators interact with simulated semiautonomous ground and aerial vehicles during route reconnaissance missions, revealing critical insights into operator strategies and the impact of sensor feed degradations on performance. Durlach’s research uniquely bridges behavioral science and robotics, focusing on the cognitive demands of controlling multiple assets simultaneously. She developed the PACERS system (Platoon Aid for Collective Employment of Robotic Systems) and the TECRA framework, which applies adaptive automation theory to enhance command-and-control infrastructure for unmanned vehicles. Her work demonstrates how intelligent automation can dynamically adjust to operator workload and situational demands, improving mission effectiveness. Durlach’s contributions have been instrumental in advancing the U.S. Army’s understanding of robotic operator performance, making her a key figure in the evolution of human-autonomy teaming for defense applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2PACERS: Platoon Aid for Collective Employment of Robotic Systems10 citations · 2007
- 3Robotic Operator Performance in Simulated Reconnaissance Missions7 citations · 2005
- 4TECRA: C2 application of adaptive automation theory6 citations · 2010