Papers
19
Total Citations
1,057
H-Index
14
About
Jennifer Burke is a pioneering researcher in human-robot interaction (HRI), with a focus on urban search and rescue (USAR) and disaster response. Her work has fundamentally shaped how robots and humans collaborate in high-stakes environments, emphasizing the critical role of situation awareness and team dynamics over pure autonomy. Her landmark 2004 field study of a USAR training exercise (196 citations) and her contributions to the DARPA/NSF interdisciplinary study on HRI (147 citations) established foundational principles for the field. Burke’s research, including her survey of psychophysiology in HRI (116 citations), introduced innovative metrics for evaluating human-robot teams, while her lessons from real-world responses like the World Trade Center and Hurricane Charley (109 citations) provided actionable insights for roboticists and emergency responders. She also advanced the use of unmanned aerial systems for structural inspection, as seen in her work at the Berkman Plaza II collapse (57 citations). With over 900 total citations across her most-cited papers, Burke’s impact lies in bridging robotics, psychology, and field practice, making her a key figure in designing effective, human-centered robotic systems for crisis scenarios.
Research Focus
Key Achievements
Top Papers
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- 3Survey of Psychophysiology Measurements Applied to Human-Robot Interaction116 citations · 2007
- 4Up from the Rubble: Lessons Learned about HRI from Search and Rescue109 citations · 2005
- 5Human-robot interaction in USAR technical search: two heads are better than one104 citations · 2005
- 6Human–Robot Interaction72 citations · 2010
- 7
- 8Use of Tethered Small Unmanned Aerial System at Berkman Plaza II Collapse57 citations · 2008
- 9From remote tool to shared roles49 citations · 2008
- 10