Papers

9

Total Citations

146

H-Index

6

About

David M. Schuster is a human factors researcher whose work sits at the critical intersection of human-robot interaction, trust, and team dynamics. His research has fundamentally advanced our understanding of what it takes to transform robots from mere tools into genuine teammates, earning him over 140 citations across his most influential works. Schuster's most celebrated contributions center on the psychological and cognitive dimensions of human-robot teaming. His 2013 paper on building appropriate trust in human-robot teams (58 citations) and his 2012 work on shared mental models and situational awareness (47 citations) established a compelling framework for understanding how humans and robots can collaborate more effectively. He has consistently argued that successful teaming requires not just technological capability, but carefully calibrated trust and aligned cognitive representations between human operators and robotic systems. A recurring theme throughout his work is situation awareness — how humans monitor, interpret, and respond to robotic teammates, particularly under conditions of automation and unreliability. His investigations into novice users' mental models of robots further demonstrate his commitment to understanding real-world human cognition. With earlier work even touching on robotic surgical tools, Schuster's career reflects a broad curiosity about human-machine collaboration across high-stakes environments, making his research essential reading for anyone studying the future of autonomous systems.

Research Focus

Key Achievements

6
H-Index
9
Papers
146
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Building appropriate trust in human-‐robot teams
58 citations · 2013
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Central Florida, Technical University of Munich

Top Papers

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    Robots As Team Members
    2 citations · 2011
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Key Collaborators

Contact & Links

Available for collaboration
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