Stefano Guidi
Papers
9
Total Citations
139
H-Index
5
About
Stefano Guidi is a leading voice in the social robotics and human-robot interaction (HRI) community, whose work systematically unpacks how human biases—particularly those related to gender and age—are projected onto robots. His research critically examines the stereotypes embedded in robot design and how these shape our perceptions of agency, communion, and moral standing. Guidi’s most influential work, “The Shape of Our Bias” (74 citations), provides a data-driven formalization of how the ABOT database’s humanoid robots are perceived in terms of age and gender, revealing a troubling lack of diversity in robotic “bodies.” He further advanced this line of inquiry with his work on ambivalent robot stereotypes (18 citations), applying the Stereotype Content Model to robots, and on gender role stereotypes in humanoid robots (16 citations), demonstrating that robots are often assigned gendered tasks. His research also extends into the moral domain, exploring whether people attribute different punishments to robots versus humans for the same crimes (13 citations). By blending social psychology with robotics, Guidi’s work is essential for anyone designing more equitable, inclusive, and socially-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Models of (Often) Ambivalent Robot Stereotypes18 citations · 2023
- 3Gender role stereotypes at work in humanoid robots16 citations · 2022
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