Nicholas Cioli
Papers
1
Total Citations
6
H-Index
1
About
Nicholas Cioli is a researcher at the intersection of human-robot interaction (HRI) and cognitive neuroscience, pioneering methods to decode how people perceive and respond to vulnerable robot behaviors. His work uniquely integrates neurophysiological measures—such as EEG and physiological signals—with traditional behavioral metrics to deepen our understanding of trust, disclosure, and companionship in human-robot relationships. In his most-cited paper (2019, 6 citations), Cioli demonstrates how leveraging brain and body data can augment the interpretation of user responses to robots that exhibit vulnerability, moving beyond surveys and interviews to capture subconscious reactions. This foundational contribution opens new pathways for designing more intuitive and empathetic robotic systems. By bridging engineering, psychology, and neuroscience, Cioli’s research has significant implications for socially assistive robotics, autonomous systems, and human-centered AI. His work is particularly notable for its early adoption of multimodal sensing in HRI, setting a precedent for more nuanced, data-rich studies of human-robot dynamics. For students and researchers, Cioli exemplifies how interdisciplinary approaches can transform our understanding of human-technology interaction.
Research Focus
Key Achievements
Top Papers
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