Mark Crowley
Papers
3
Total Citations
21
H-Index
3
About
Mark Crowley is a leading researcher in human-robot interaction, with a specific focus on leveraging emotional communication to enhance collaboration in high-stakes environments. His key research areas include affective computing, multi-modal interaction, and robot-assisted search and rescue. Crowley’s major contribution is demonstrating that emotions can serve as a natural, complementary communication modality alongside text and speech in social robotics. Through a series of rigorous online studies—involving 112, 223, and 151 participants—he has shown that emotional cues can improve the efficiency and effectiveness of human-robot communication during critical scenarios like urban search and rescue. His most cited work, "Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios" (2022, 13 citations), provides foundational evidence for consensus in mapping specific emotions to operational messages. This research is notable for its practical implications, offering a path toward more intuitive and responsive robots capable of supporting first responders in life-saving missions. Crowley’s work bridges the gap between human emotional expression and robotic functionality, making him a key figure in the future of empathetic, task-oriented robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3