Marie‐Eve LeBel
Papers
2
Total Citations
34
H-Index
2
About
Marie‑Eve LeBel is a leading researcher in surgical education and robotic surgery, with a focus on how observational learning can accelerate skill acquisition. Her work explores the cognitive and perceptual mechanisms that underpin training in robotically assisted surgery, particularly how novices learn from watching others perform procedures. In her highly cited 2017 study (23 citations), she demonstrated that observing both expert and novice performance—including error-strewn examples—can enhance skill acquisition on robotic platforms, challenging the traditional model of learning solely from expert demonstration. Her 2018 randomized trial (11 citations) further advanced the field by investigating the role of 2D versus 3D models in observational learning, revealing that stereoscopic viewing may offer distinct benefits for skill transfer. LeBel’s contributions are pivotal in shaping evidence-based training curricula for robotic surgery, emphasizing that deliberate exposure to errors and varied performance models can optimize learning outcomes. Her research has significant implications for surgical education, patient safety, and the design of simulation-based training programs, making her a key figure in the intersection of cognitive psychology and surgical innovation.
Research Focus
Key Achievements
Top Papers
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