Daniel Gartenberg
Papers
1
Total Citations
31
H-Index
1
About
Daniel Gartenberg is a leading researcher in human factors and cognitive engineering, whose work focuses on understanding and optimizing human performance in complex, technology-rich environments. His key research areas include supervisory control of multi-robot systems, workload prediction, and human-automation interaction. Gartenberg’s most influential contribution is his development of a dynamic model for operator overload, which extends the concept of “fan-out”—the maximum number of robots a single human can effectively supervise—by accounting for fluctuating task demands. This work, published in a 2014 paper with 31 citations, provides a predictive framework for managing workload during supervisory control, offering practical insights for designing more efficient human-robot teams. His research has significant implications for military, industrial, and space applications, where operators must manage multiple autonomous systems simultaneously. By bridging cognitive science and robotics, Gartenberg has helped advance the safe and effective integration of automation into critical operations. His achievements include collaborations with leading institutions and contributions to the field’s understanding of how to balance human cognitive limits with technological capabilities.
Research Focus
Key Achievements
Top Papers
- 1