Zhonglun Wang
Papers
1
Total Citations
9
H-Index
1
About
Dr. Zhonglun Wang investigates the critical intersection of human-robot interaction and operational safety, with a primary focus on trust, situational awareness, and performance in high-stakes environments. His most cited work, "The effect of human-robot interaction on trust, situational awareness, and performance in drone clearing operations" (2019, 9 citations), examines how small drones can support law enforcement in dangerous building clearing scenarios, such as active shooter incidents. By analyzing the dynamics between human operators and autonomous systems, Dr. Wang has contributed foundational insights into how trust in robotic teammates influences decision-making and mission outcomes. His research addresses the growing deployment of compact drones, leveraging advances in microcomputers and battery technology to enhance officer safety and operational effectiveness. Through this work, Dr. Wang has helped shape the design of human-robot teams for risk-sensitive applications, offering practical guidance for integrating unmanned systems into tactical operations. His contributions are particularly valuable for researchers and practitioners in robotics, human factors engineering, and public safety technology.
Research Focus
Key Achievements
Top Papers
- 1