Gianluca Di Flumeri
Papers
3
Total Citations
40
H-Index
3
About
Gianluca Di Flumeri is a leading researcher at the intersection of neuroergonomics, human factors, and advanced surgical technologies. His work focuses on leveraging neurophysiological measures—particularly EEG-based metrics—to assess and enhance human performance in high-stakes environments. Di Flumeri’s key contributions include developing objective, real-time workload indices to evaluate the usability and cognitive demands of robotic surgery systems, such as the da Vinci platform. His 2016 study on neurophysiological assessment during simulated robot-assisted laparoscopic surgery (16 citations) and his 2019 work on EEG-based workload as a taxonomic tool (13 citations) have provided foundational methods for training optimization and system design in minimally invasive surgery. More recently, his 2025 review on human factors characterization for Industry 5.0 (11 citations) bridges neurophysiological techniques with real-world operational settings, offering a transformative framework for assessing human-machine interaction in modern industry. Di Flumeri’s research is notable for its practical impact on surgical training and its forward-looking vision for integrating cognitive neuroscience into industrial human factors engineering.
Research Focus
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Top Papers
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