Melanie LeGoullon

Perceptronics Solutions (United States)

Papers

1

Total Citations

6

H-Index

1

About

Melanie LeGoullon is a researcher in cognitive engineering and human-automation interaction, with a particular focus on adaptive automation for command and control (C2) systems. Her most cited work, "TECRA: C2 application of adaptive automation theory" (2010, 6 citations), introduces a prototype adaptive automation framework designed to enhance the operation of unmanned vehicles by dynamically adjusting system behavior based on operator cognitive state. This foundational contribution applies recent advances in cognitive engineering to create more responsive, human-centered C2 infrastructures. LeGoullon’s research addresses the critical challenge of balancing automation efficiency with human oversight, aiming to reduce operator workload while maintaining situational awareness in complex, high-stakes environments. Though her citation count is modest, her work represents an early and influential step in the integration of adaptive automation theory into practical military and robotic systems. Her contributions are particularly relevant for researchers exploring human-machine teaming, cognitive workload management, and the design of intelligent interfaces for autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
TECRA: C2 application of adaptive automation theory
6 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Perceptronics Solutions (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago