Christine Jeoffrion
Papers
2
Total Citations
63
H-Index
2
About
Christine Jeoffrion is a researcher whose work sits at the critical intersection of human factors, occupational health, and emerging automation technologies, with a particular focus on human-cobot (collaborative robot) interaction in industrial settings. Her research addresses one of the most pressing challenges in modern manufacturing: understanding how workers psychologically and physically adapt when paired with collaborative robots on shared tasks. Her most cited work, "The Impacts of Human-Cobot Collaboration on Perceived Cognitive Load and Usability during an Industrial Task" (2022, 43 citations), has become an essential reference for occupational health professionals seeking to understand both the opportunities and risks that cobots introduce into the workplace. By rigorously measuring cognitive load and usability perceptions, Jeoffrion provides actionable guidance for safer and more effective human-robot integration. Her subsequent 2024 study builds on this foundation, offering a more comprehensive performance analysis by examining task success, completion time, error rates, workload, physical gestures, and worker acceptability simultaneously. Through her empirically grounded, worker-centered approach, Jeoffrion is helping shape best practices for cobot deployment, ensuring that technological advances serve rather than burden the humans working alongside them.
Research Focus
Key Achievements
Top Papers
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