Benjamin Brewster
Papers
1
Total Citations
3
H-Index
1
About
Benjamin Brewster’s research sits at the critical intersection of human-robot interaction, supervisory control, and military field experimentation. His most-cited work, a 2010 study on modeling and simulation of situational awareness during field tests with manned and unmanned ground vehicles, has garnered 3 citations and laid foundational groundwork for understanding how human operators maintain cognitive control over semiautonomous military systems. Brewster’s key contribution lies in developing frameworks that optimize the delicate balance between human decision-making and robotic autonomy in high-stakes environments—a challenge that grows more urgent as intelligent systems proliferate across defense applications. By moving beyond laboratory simulations to real-world field experimentation, he has provided actionable insights into how soldiers can effectively supervise multiple unmanned vehicles while preserving critical situational awareness. His work directly addresses the military’s pressing need for reliable human-robot teams, offering both theoretical models and practical methodologies for designing interfaces that reduce cognitive overload. For students and researchers entering this field, Brewster’s research serves as a vital bridge between human factors engineering and autonomous systems, demonstrating how careful experimental design can unlock safer, more effective human-robot collaboration in defense contexts.
Research Focus
Key Achievements
Top Papers
- 1