Brett Sheeran
Papers
1
Total Citations
2
H-Index
1
About
Brett Sheeran investigates the intersection of human-robot interaction and virtual reality, with a primary focus on emergency evacuation scenarios. His research explores how people respond to robot guidance during high-stress situations, revealing a critical finding: individuals will follow a robot's directions even when the robot is malfunctioning. This work has significant implications for safety protocols and trust in autonomous systems. In his most-cited paper (2022, 2 citations), Sheeran introduces a novel methodology using virtual reality to simulate threatening evacuation environments, allowing for ethical and repeatable studies of human behavior under duress. By creating immersive, controlled scenarios, he provides a framework for testing robot reliability and human decision-making in emergencies. Sheeran's contributions advance our understanding of human-robot trust dynamics and offer practical insights for designing fail-safe evacuation systems. His work is particularly relevant for researchers in robotics, cognitive science, and disaster management, highlighting the urgent need to address trust calibration in autonomous guidance systems.
Research Focus
Key Achievements
Top Papers
- 1