Fleet Davis
Papers
1
Total Citations
8
H-Index
1
About
Fleet Davis is a researcher whose work lies at the intersection of human factors, robotics, and automation, with a particular focus on how operators maintain critical situation awareness (SA) when controlling unmanned systems. His most-cited paper, "Performance and Situation Awareness Effects in Collaborative Robot Control with Automation" (2008, 8 citations), examines the delicate balance between automated assistance and human oversight in robotic control. Davis’s key contribution is demonstrating that while automation can improve task performance, it often degrades the operator’s awareness of the robot and its environment—a finding with profound implications for domains like military drones, search-and-rescue, and space exploration. By quantifying how different levels of automation impact SA and performance, his work helps engineers design more effective human-robot interfaces. Though his citation count is modest, Davis’s research is foundational for understanding the cognitive costs of automation, making it essential reading for students and researchers in human-robot interaction and cognitive engineering. His insights continue to inform the development of collaborative robotic systems that keep humans in the loop.
Research Focus
Key Achievements
Top Papers
- 1