Verica Buchanan
Papers
2
Total Citations
51
H-Index
2
About
Verica Buchanan is a leading researcher at the intersection of human-robot interaction and artificial intelligence, with a primary focus on Human–AI–Robot Teaming (HART). Her work investigates how humans can effectively collaborate with autonomous systems in high-stakes environments, particularly through explanation-based communication strategies. In her highly cited 2021 paper, “Towards Human–Robot Teaming: Tradeoffs of Explanation-Based Communication Strategies in a Virtual Search and Rescue Task” (35 citations), Buchanan demonstrated how different levels of robot transparency impact team performance and trust during emergency response scenarios. She also made significant methodological contributions during the COVID-19 pandemic, authoring “Remote research methods for Human–AI–Robot Teaming” (16 citations), which systematically identified key challenges and effective adaptations for conducting HART studies remotely—a critical advancement that enabled continued research during global disruptions. Her work has been instrumental in shaping how autonomous systems communicate their reasoning to human teammates, balancing efficiency with understandability. Buchanan’s research is widely cited by scholars in human-robot interaction, cognitive engineering, and AI ethics, and her findings directly inform the design of safer, more trustworthy collaborative robots for search and rescue, manufacturing, and defense applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Remote research methods for Human–AI–Robot Teaming16 citations · 2021