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About

Caitlin Kenny is a human factors researcher specializing in human-robot interaction, supervisory control, and display technology for remote operations. Her work sits at the critical intersection of automation reliability, operator performance, and military robotics, addressing the growing need to understand how humans effectively manage increasingly autonomous systems. Kenny's most significant contributions center on two interconnected research threads. First, she has investigated how imperfect and unreliable automation affects operators tasked with supervising multiple ground robots simultaneously, using realistic military multitasking simulations involving RoboLeader, an intelligent agent designed to coordinate robot teams. Her findings shed light on individual differences in operator performance under degraded automation conditions — insights with direct implications for military robotics deployment and human-machine teaming. Second, Kenny has advanced understanding of stereoscopic display technology, demonstrating through rigorous experimentation that 3D displays measurably improve task completion speed in both simulated indirect-vision driving and live robot teleoperation contexts. With her most-cited work accumulating 16 citations and subsequent studies building a consistent body of evidence, Kenny has made meaningful contributions to the design of operator interfaces and automation frameworks for robotic systems — research areas of growing importance as autonomous platforms become increasingly prevalent in defense and other high-stakes environments.