Alex Vieane

Alion Science and Technology (United States)

Papers

Total Citations

H-Index

About

Alex Vieane is a researcher whose work bridges human factors, cognitive engineering, and human-robot interaction. His key research areas include task switching, multitasking, and strategic overload management in complex sociotechnical systems. Vieane is best known for his foundational contributions to the Strategic Task Overload Management (STOM) model, which predicts how operators prioritize and switch between tasks when concurrence is impossible. His most-cited paper, "Time Sharing Between Robotics and Process Control" (2016, 58 citations), experimentally validated the STOM model by demonstrating that in overload conditions, operators switch to tasks perceived as more attractive on key attributes—a finding with direct implications for designing safer human-robot collaboration and process control interfaces. This work has influenced subsequent research on adaptive automation and operator state estimation. Vieane’s research is notable for its rigorous empirical grounding and its practical relevance to domains such as manufacturing, aviation, and nuclear power. His achievements include advancing theoretical models of human multitasking while providing actionable insights for system design, making his work essential reading for students and researchers in human factors engineering and cognitive ergonomics.