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About

Nadine Sarter is a prominent human factors researcher whose work centers on human-automation interaction, operator performance, and the design of effective interfaces for complex systems, with a particular focus on space teleoperation and robotic automation. Her research has made significant contributions to understanding how varying levels and stages of automation influence operator workload, situational awareness, and decision-making in high-stakes environments. Among her most impactful contributions is her investigation into automation-induced complacency, culminating in a validated computational model that predicts how operators' monitoring behavior degrades as automation assumes greater control of robotic tasks. This work, cited over 40 times, offers both theoretical insight and practical design guidance for engineers developing supervisory control systems. Her research on dynamic function allocation explores hybrid adaptive-adaptable approaches to human-automation collaboration, addressing longstanding limitations of each strategy in isolation. Sarter has also advanced multimodal interface design, examining how visual and tactile warnings can improve operator awareness during space teleoperation, and more recently investigating how auditory and visual representations of system confidence can calibrate trust in human-machine teams. Collectively, her scholarship provides foundational frameworks for designing safer, more effective collaborative automation systems across aerospace and robotics domains.