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About

Rosemarie E. Yagoda is a human factors researcher whose work centers on human-robot interaction (HRI), with particular expertise in trust, workload, and usability within robotic systems. Operating at the intersection of cognitive psychology and robotics, Yagoda has made meaningful contributions to how researchers and practitioners understand the psychological and operational dimensions of working alongside robots. Her most influential contribution is the development of the Human–Robot Interaction Trust Scale (2012), a psychometric tool designed to measure the complex, multidimensional nature of trust between humans and robots — a paper that has garnered over 227 citations and remains a cornerstone reference in HRI research. Complementing this, her development of the HRI Workload Measurement Tool (HRI-WM) addressed the critical need for reliable methods to assess operator cognitive load in robotic systems, particularly relevant to military applications. Yagoda's research has practical implications for defense contexts, exploring voice-commanded robot navigation, mobile device controllers for unmanned systems, and factors influencing robot adoption among operators. Her body of work reflects a consistent commitment to making human-robot collaboration safer, more intuitive, and more effective — offering foundational tools that continue to inform both academic inquiry and real-world robotic system design.