Jack Keebler
Papers
1
Total Citations
2
H-Index
1
About
Jack Keebler is a researcher whose work lies at the critical intersection of human factors, autonomous systems, and team performance. His most-cited paper, "Safe operation of autonomous robot teams: Impact of autonomy, teaming, and workload on operator performance" (2011), has garnered 2 citations and serves as a foundational study in understanding how human operators interact with and manage autonomous robot teams. Keebler’s major contributions focus on the cognitive and ergonomic challenges of supervising multiple autonomous agents, particularly how varying levels of autonomy and team composition affect operator workload and safety. By systematically examining these dynamics, his research provides essential guidelines for designing more intuitive and safer human-autonomy interfaces. This work is particularly impactful for students and researchers in human-robot interaction, as it bridges theoretical models of teamwork with practical concerns about operator performance under stress. Keebler’s findings have implications for military, industrial, and disaster-response applications, where effective human-robot collaboration is crucial. His research continues to shape how we think about balancing automation and human control in complex, high-stakes environments.
Research Focus
Key Achievements
Top Papers
- 1