Jacopo Cavazza
Papers
1
Total Citations
72
H-Index
1
About
Jacopo Cavazza is a leading researcher at the intersection of social robotics, cognitive neuroscience, and human-robot interaction. His work investigates how the human brain processes and forms attitudes toward robots, bridging neural activity with social cognition. Cavazza’s most cited study (2020, 72 citations) revealed that resting-state brain activity patterns can predict individual biases in attitudes toward robots—whether people perceive them as mere mechanistic tools or as intentional agents. This groundbreaking contribution demonstrates that implicit neural markers, not just explicit self-reports, shape how we interpret robot behavior. By linking spontaneous brain dynamics to social biases, Cavazza provides a neurocognitive foundation for designing robots that better align with human expectations. His research has significant implications for the ethical deployment of social robots in healthcare, education, and daily life. Cavazza’s work is widely recognized for its interdisciplinary rigor, offering a novel lens to understand the neural underpinnings of human-robot relationships. For students and researchers, his findings underscore the importance of considering unconscious biases in technology acceptance and pave the way for more intuitive, human-centered robotic systems.
Research Focus
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Top Papers
- 1