Papers
7
Total Citations
60
H-Index
4
About
Catherine Neubauer is a leading researcher in human-autonomy teaming, a field at the intersection of artificial intelligence, robotics, and cognitive science. Her work focuses on the critical challenges of trust, workload, and team cohesion when humans collaborate with autonomous systems, particularly in high-stakes environments like military operations and disaster response. Neubauer’s most impactful contribution is her development of a conceptual toolkit for measuring trust in human-autonomy teams (2022, 38 citations), providing a foundational framework for researchers and engineers designing trustworthy AI teammates. She has also pioneered methods for quantifying cognitive workload during human-robot collaboration through automated after-action reviews (2024), and created the RW4T dataset—a rich repository of human-robot behavior and cognitive states during simulated disaster response tasks (2024). Her work on team resilience and cohesion models (2021) further advances understanding of how autonomous systems affect critical team dynamics. Neubauer’s research has direct practical applications, as demonstrated by her evaluation of trust in weaponized robotic combat vehicles during live-fire exercises (2022). Through her systematic approach to measurement and modeling, she is helping to build the scientific foundation for effective, safe human-autonomy collaboration.
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