Latisha Boor

Tilburg University, Eindhoven University of Technology

Papers

Total Citations

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About

Latisha Boor is a rising scholar in human-robot interaction, with a focused research agenda on the social psychology of robotics—specifically, how people stereotype machines. Her work bridges social cognition and technology design, examining how robots are perceived through the lens of the Stereotype Content Model. In her most-cited paper, “Models of (Often) Ambivalent Robot Stereotypes” (2023, 18 citations), Boor conducted a large-scale online study with 120 participants rating 80 robots on dimensions of communion, agency, and gendered task suitability. This work revealed that robots, like humans, are subject to ambivalent stereotypes—warm but incompetent, or competent but cold—depending on their design and perceived gender. Her follow-up study, “Ambivalent Stereotypes Towards Gendered Robots” (2022, 5 citations), explored the mutability of bias toward female and neutral robots, showing that gendered cues in robot design can entrench or challenge existing stereotypes. Boor’s contributions are significant for ethical AI design: by exposing how subtle design choices reinforce social biases, she provides a roadmap for creating more inclusive, stereotype-resistant robots. Her work is essential reading for students and researchers in social robotics, human-robot interaction, and AI ethics.