Don Morrison

Carnegie Mellon University

Papers

1

Total Citations

13

H-Index

1

About

Don Morrison is a leading researcher in human-robot interaction and cognitive modeling, with a focus on the control of robotic swarms. His work bridges the gap between complex human cognitive processes and mathematically tractable models, enabling safer and more reliable cyber-physical systems. His most-cited paper, "Abstraction of analytical models from cognitive models of human control of robotic swarms" (2015, 13 citations), introduces a novel methodology for deriving analytical models from cognitive architectures, addressing critical challenges of data scarcity and over-fitting. This approach allows for formal validation of human-swarm interactions, a key step toward deploying autonomous systems in real-world environments. Morrison’s contributions are foundational for researchers aiming to understand and predict human decision-making in multi-agent control tasks. His work is particularly notable for its interdisciplinary rigor, combining insights from cognitive science, control theory, and robotics. By enabling more generalizable models of human behavior, Morrison has opened new pathways for designing intuitive and verifiable human-swarm interfaces, making his research essential reading for students and scholars working at the intersection of human factors and autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Abstraction of analytical models from cognitive models of human control of robotic swarms
13 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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