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About

Leda Berio is a cognitive scientist whose research explores the intersection of social cognition and human-robot interaction, with a particular focus on visual perspective taking (VPT). Her work investigates whether humans spontaneously adopt the visual perspective of humanoid robots, a fundamental process typically reserved for human social interactions. In her most-cited paper, "Try to See it My Way: Humans Take the Level-1 Visual Perspective of Humanoid Robot Avatars" (2023, 12 citations), Berio provides compelling evidence that humans do indeed engage in level-1 VPT with robot avatars, challenging earlier conflicting findings. She further refines this understanding in "The influence of robot appearance on visual perspective taking: Testing the boundaries of the mere-appearance hypothesis" (2023, 9 citations), where she systematically examines how robot design—from mechanical to human-like—affects this cognitive process. By demonstrating that even minimal human-like features can trigger perspective-taking, Berio’s work has significant implications for designing socially intuitive robots. Her research bridges cognitive science and robotics, offering insights into how humans perceive and interact with artificial agents. With over 24 citations across her key publications, Berio is establishing herself as a leading voice in understanding the cognitive foundations of human-robot social dynamics.