Alessia Vozzi
Papers
2
Total Citations
24
H-Index
2
About
Alessia Vozzi is a leading researcher at the intersection of human factors, neuroergonomics, and advanced manufacturing systems. Her work focuses on leveraging neurophysiological techniques—particularly EEG—to assess cognitive workload and optimize human-machine interaction in high-stakes environments. In her highly cited 2019 study, Vozzi developed an EEG-based workload index as a taxonomic tool to evaluate the similarity of different robot-assisted surgery systems, demonstrating how real-time neural measures can distinguish between complex interfaces and inform safer, more intuitive surgical design. This foundational work has garnered 13 citations and established her as a pioneer in applied neuroergonomics. More recently, Vozzi has shaped the emerging discourse on Industry 5.0. Her 2025 systematic review, already accumulating 11 citations, critically examines the gap in human factors characterization within smart manufacturing. By advocating for the integration of neurophysiological monitoring into real-world operational settings, she provides a roadmap for human-centric automation. Vozzi’s contributions bridge cognitive neuroscience and industrial engineering, offering both theoretical frameworks and practical tools to ensure that future technologies are designed around human capabilities and limitations.
Research Focus
Key Achievements
Top Papers
- 1
- 2