Mary Hayhoe

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About

Mary Hayhoe is a pioneering vision scientist whose research bridges human gaze behavior and computational modeling, fundamentally reshaping our understanding of visual perception in natural, active tasks. Her work integrates insights from cognitive science, neuroscience, and artificial intelligence, with a particular focus on how eye movements reveal internal cognitive states and guide decision-making in dynamic environments. A landmark paper, "Human Gaze Assisted Artificial Intelligence: A Review" (2020, 47 citations), synthesizes her contributions across computer vision, natural language processing, and robotics, demonstrating how gaze data can enhance AI systems. Hayhoe’s major contributions include developing immersive virtual reality paradigms to study gaze control during complex, real-world activities, such as walking and making tea, revealing that attention is tightly coupled to task demands. Her research has profoundly impacted fields like human-computer interaction and autonomous systems, with her most-cited works collectively garnering thousands of citations. Notably, her work on gaze in natural tasks has been recognized with prestigious awards, including the Vision Sciences Society’s Ken Nakayama Medal, and continues to inspire interdisciplinary approaches to understanding perception and action.