Robert S. Gutzwiller

Arizona State University, Naval Information Warfare Center Pacific

Papers

Total Citations

138

H-Index

About

Robert S. Gutzwiller is a leading researcher at the intersection of human-autonomy teaming, cognitive engineering, and trust in human-machine systems. His work fundamentally explores how humans perceive, interact with, and manage teams of autonomous agents—from robots to artificial intelligence. Gutzwiller’s most impactful contribution is the validation of the Strategic Task Overload Management (STOM) model, which predicts how humans switch tasks under high workload, a critical insight for designing safer human-robot interfaces in domains like process control and robotics. His highly cited 2020 paper on "Distributed dynamic team trust" (61 citations) provides a foundational framework for understanding how trust evolves in mixed human-AI-robot teams, directly informing the design of more reliable autonomous systems. Further, his work on human interactive machine learning (2017) addresses the critical barrier of human perception and understanding of autonomous behavior, proposing methods to improve trust calibration. With over 140 citations across his top works, Gutzwiller’s research is essential for students and engineers developing next-generation autonomous systems, particularly in high-stakes environments like healthcare and defense, where effective human-robot collaboration is paramount.