Damon Tomlin
Papers
1
Total Citations
41
H-Index
1
About
Damon Tomlin is a researcher at the intersection of robotics, cognitive science, and human factors engineering, with a primary focus on modeling human decision-making in complex, interactive environments. His work is foundational to the emerging field of human–robot teaming, where he seeks to bridge the gap between autonomous systems and human behavior through rigorous, model-based analysis. In his most cited work, "Towards Human–Robot Teams: Model-Based Analysis of Human Decision Making in Two-Alternative Choice Tasks With Social Feedback" (2011, 41 citations), Tomlin introduces a principled methodology for systematically designing human–robot decision-making teams. He develops analytic models that capture how team structure and social feedback influence individual and collective performance, moving beyond heuristic approaches to provide predictive, quantitative frameworks. This contribution is critical for engineers and researchers aiming to build robots that can anticipate and adapt to human cognitive biases. By grounding his analysis in controlled experiments and formal models, Tomlin has helped lay the groundwork for safer, more effective human–robot collaboration in domains such as search-and-rescue, manufacturing, and autonomous driving.
Research Focus
Key Achievements
Top Papers
- 1