Poornima Madhavan

Papers

Total Citations

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About

Dr. Poornima Madhavan is a pioneering researcher in human-automation interaction, trust dynamics, and cognitive systems engineering. Her work critically examines how humans calibrate trust across diverse agents—from human colleagues to automated systems, robots, and cognitive agents—a theme central to her highly cited 2014 paper, which has garnered 20 citations and remains foundational in bridging fragmented trust literature across disciplines. More recently, Dr. Madhavan has advanced neural computing applications for organizational processes, as demonstrated in her 2020 work on robotic automation of employee onboarding. Her research directly addresses performance optimization in modern work environments, where appropriate trust levels are essential for effective human-machine collaboration. By synthesizing insights from psychology, engineering, and computer science, Dr. Madhavan has shaped understanding of how trust influences decision-making and teamwork in increasingly automated contexts. Her contributions are particularly impactful for students and researchers exploring the intersection of human factors, artificial intelligence, and organizational behavior, offering both theoretical frameworks and practical solutions for designing trustworthy autonomous systems.