Dexter Johnson
Papers
1
Total Citations
2
H-Index
1
About
Dexter Johnson is a researcher focused on the intersection of human-machine teaming and swarm intelligence, with a particular emphasis on performance degradation in collaborative systems. His most-cited work, "Detecting Swarm Degradation: Measuring Human and Machine Performance" (2023), introduces novel metrics for assessing when and how swarms of autonomous agents—and their human operators—begin to fail under stress. This contribution is critical for designing resilient, adaptive systems in defense, disaster response, and autonomous logistics. Though early in his career, Johnson’s work has already garnered attention for its practical implications in real-time performance monitoring. His research bridges cognitive science and robotics, offering tools to predict breakdowns before they cascade. As autonomous swarms become more prevalent, Johnson’s metrics could become standard for ensuring reliability in human-machine collaborations.
Research Focus
Key Achievements
Top Papers
- 1Detecting Swarm Degradation: Measuring Human and Machine Performance2 citations · 2023