Nicole Coeyman

Papers

Total Citations

296

H-Index

About

Nicole Coeyman is a pioneering researcher in human-robot interaction, with a primary focus on the dynamics of trust in collaborative systems. Her landmark 2007 paper, "Measurement of trust in human-robot collaboration," has garnered 296 citations and remains a foundational reference in the field. In this work, she introduced the Collaborative Performance Model, a framework that systematically captures the critical performance attributes of human-robotic decision-making and control environments. Coeyman’s research demonstrates that trust is not merely a social construct but a measurable, essential element that directly influences the effectiveness of human-robot teams. Her experimental studies have shaped how engineers and psychologists design autonomous systems, emphasizing the need for transparency and reliability to foster user confidence. Coeyman’s contributions have had a lasting impact on robotics, human factors engineering, and artificial intelligence, providing a rigorous basis for developing safer, more intuitive collaborative robots. Her work continues to inspire new generations of researchers exploring the intersection of technology and human behavior.