Margherita Bicchi
Papers
1
Total Citations
74
H-Index
1
About
Margherita Bicchi’s research sits at the intersection of human-robot interaction, social robotics, and cognitive science, with a sharp focus on how we perceive and categorize humanoid robots. Her most cited work, “The Shape of Our Bias: Perceived Age and Gender in the Humanoid Robots of the ABOT Database” (2022, 74 citations), offers a systematic, data-driven analysis of how people assign age and gender to robots—revealing deep-seated human biases that shape design and interaction. By involving 153 participants in an online study, Bicchi formalized the often intuitive process of robot categorization, providing a critical framework for engineers and designers to build more inclusive and socially aware robotic systems. Her contributions are vital in an era where robots increasingly enter homes, schools, and workplaces, as they highlight the subtle ways our own social biases are projected onto machines. Bicchi’s work is notable for bridging empirical psychology with robotics design, making her a key voice in ensuring that the future of humanoid robotics is both technically advanced and socially conscious.
Research Focus
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Top Papers
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