Joshua Skewes

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About

Joshua Skewes is a cognitive scientist whose research lies at the intersection of social cognition, robotics, and human–machine interaction. His work investigates how people form impressions of robots and how social biases—such as those related to gender or race—are modulated in interactions with artificial agents. In his highly cited 2019 paper, “Social robotics and the modulation of social perception and bias,” Skewes introduces the concept of fair proxy communication, a framework for robot-mediated interaction designed to reduce identity-based stereotyping. This work, with 25 citations, has been influential in shaping ethical design principles for socially assistive robots. Skewes’ research offers critical insight into how robots can serve not only as tools but as social actors that reveal the mechanisms of human bias. His contributions bridge experimental psychology and robotics, providing a foundation for developing more equitable human–robot interaction. By probing how stereotypes influence social judgments in human–robot encounters, Skewes has opened new avenues for studying the cognitive underpinnings of social perception in both human and machine contexts.