Mark Crowley

University of Waterloo

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

3
H-Index
3
Papers
21
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios
13 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Waterloo

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago