Brad Hayes

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About

Brad Hayes is a leading researcher in human-robot interaction and trust in autonomous systems, with a focus on how robotic decision support impacts critical, real-world settings. His most-cited work, "Robotic Assistance in Coordination of Patient Care" (2016, 27 citations), investigates the dynamics of trust and dependence on embodied agents among nurses and doctors in a labor and delivery floor. This study reveals a crucial insight: suggestions from robotic systems can foster inappropriate degrees of trust and reliance, potentially compromising human judgment in high-stakes environments. Hayes’s contributions extend beyond this landmark paper, as he explores the ethical and practical implications of deploying AI in collaborative healthcare, emphasizing the need for calibrated trust. His research has shaped discussions on robot transparency, decision-making authority, and the design of systems that support rather than supplant human expertise. With a growing citation footprint, Hayes is recognized for bridging engineering and social science to ensure that autonomous assistants enhance, rather than undermine, human performance. His work is essential reading for students and researchers interested in the future of human-robot teamwork.