Jofish Kaye

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About

Jofish Kaye is a distinguished researcher in human-computer interaction (HCI), with a particular focus on how people perceive and interact with non-anthropomorphic robots. His work bridges robotics, social psychology, and design, exploring how subtle cues—such as a robot’s locomotion style—can communicate social signals like dominance. In his most-cited paper, "Communicating Dominance in a Nonanthropomorphic Robot Using Locomotion" (2019, 24 citations), Kaye conducted a controlled experiment with 25 participants to investigate whether motion patterns influence perceptions of a robot’s status. This research is foundational for designing robots that integrate seamlessly into human social environments without relying on human-like features. Beyond this, Kaye has contributed to broader HCI topics, including tangible interfaces and user experience, often emphasizing how technology shapes interpersonal dynamics. His work is widely recognized for its interdisciplinary approach, earning citations from fields ranging from robotics to sociology. Kaye’s insights are particularly valuable for students and researchers interested in creating robots that are both functional and socially intuitive, demonstrating that even minimal design choices can profoundly affect human-robot relationships.