About

Fabio Babiloni is a pioneering researcher at the intersection of neuroscience, human factors, and assistive robotics. His work focuses on leveraging neurophysiological measures—particularly electroencephalography (EEG)—to evaluate and enhance human performance in complex, real-world tasks. A key contribution is the development of EEG-based workload indices as taxonomic tools to objectively assess the cognitive demands of different robotic surgery systems, a breakthrough with implications for surgical training and safety. His research on brain-computer interfaces (BCIs) has explored their impact on simultaneous flight simulation and attentional tasks, demonstrating how neural signals can be used to monitor and augment operator focus. Babiloni has also been instrumental in assistive technology, notably through the ASPICE project, which designed brain-operated devices to restore mobility and communication for individuals with motor disabilities. With papers accumulating over 100 citations, his work bridges the gap between cognitive neuroscience and applied engineering. His recent review on human factors characterization for Industry 5.0 underscores his forward-looking vision, advocating for the integration of neurophysiological techniques into modern industrial settings to optimize human-machine collaboration.

Research Focus

Key Achievements

6
H-Index
6
Papers
111
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Investigation of the effect of EEG-BCI on the simultaneous execution of flight simulation and attentional tasks
46 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Fondazione Santa Lucia, Sapienza University of Rome, Istituti di Ricovero e Cura a Carattere Scientifico, Hangzhou Dianzi University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago