Brandon S. Perelman
Papers
4
Total Citations
20
H-Index
2
About
Brandon S. Perelman is a leading researcher at the intersection of human factors psychology and artificial intelligence, specializing in human-autonomy teaming for high-stakes, tactical environments. His work addresses a critical gap in modern AI development: how to design intelligent systems that effectively collaborate with human decision-makers under risk and uncertainty. Perelman’s most influential contributions include pioneering frameworks for quantifying human decision-making processes to improve bidirectional communication within human-robot teams, as well as examining how attitudes toward risk and effort shape team dynamics when humans and autonomous agents share operational burdens. His 2021 paper, "Human-Autonomy Teaming for the Tactical Edge," has garnered significant attention (8 citations), underscoring its relevance to military and first-response applications. Perelman has also advanced methodologies for evaluating path planning and mental model congruency, ensuring that human and robot teammates share a common understanding of tasks. By challenging paradigms that place the full burden of danger on non-human agents, his research promotes more balanced, ethical, and effective human-robot collaboration. For students and researchers, Perelman’s work offers essential insights into designing AI that truly augments human capability rather than simply replacing it.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4