Giulia Buodo
Papers
5
Total Citations
21
H-Index
3
About
Giulia Buodo is a leading researcher at the intersection of human-robot interaction, industrial psychology, and cognitive ergonomics, with a focus on shaping the future of Industry 5.0. Her work centers on understanding the psychological states, physiological responses, and attitudinal factors that influence successful human-robot collaboration (HRC) in real-world industrial settings. Buodo’s major contributions include pioneering frameworks for addressing trust and negative attitudes toward collaborative robots (cobots), as well as developing methods to monitor operators’ cognitive and emotional states through physiological signals like pupil responses. Her 2024 paper on trust and negative attitudes has already garnered 9 citations, reflecting its timely impact. She has also advanced the concept of balanced versus unbalanced support perceptions in human-cobot teams, showing how perceived contribution shapes acceptance and collaboration dynamics. With additional publications on real-world monitoring and adaptive learning in HRC, Buodo’s work is instrumental in moving cobot research from controlled labs to dynamic factory floors. Her research is essential reading for engineers, psychologists, and designers aiming to create human-centric, trustworthy, and effective collaborative systems.
Research Focus
Key Achievements
Top Papers
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