Angelia Sebok
Papers
8
Total Citations
248
H-Index
7
About
Angelia Sebok is a prominent human factors researcher whose work sits at the intersection of human-automation interaction, robotics, and cognitive modeling. Best known for her contributions to understanding how humans collaborate with automated systems in complex, high-stakes environments, Sebok has made significant strides in developing and validating computational models that predict operator behavior and performance. Her most influential work, "Implementing Lumberjacks and Black Swans Into Model-Based Tools" (74 citations), advances theoretical frameworks for designing automation systems that support effective human performance, even under unexpected conditions. Alongside this, her research on the Strategic Task Overload Management (STOM) model (58 citations) offers critical insight into how operators manage competing tasks when automation creates cognitive overload — a challenge central to modern control environments. Sebok's research has been particularly impactful in space teleoperation contexts, examining how automation stages affect operator workload and performance during robotic arm control tasks aboard the International Space Station. Her work on automation-induced complacency (41 citations) further highlights how increased automation can paradoxically undermine human vigilance. With over 180 cumulative citations across her key publications, Sebok's research provides essential guidance for designers building safer, more effective human-automation systems in aerospace and beyond.
Research Focus
Key Achievements
Top Papers
- 1
- 2Time Sharing Between Robotics and Process Control58 citations · 2016
- 3Stages and Levels of Automation in Support of Space Teleoperations45 citations · 2014
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- 7Modeling Operator Performance and Cognition in Robotic Missions8 citations · 2011
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