Dawn Riddle

CHI Systems (United States)

Papers

3

Total Citations

86

H-Index

3

About

Dawn Riddle’s research lies at the critical intersection of human-robot interaction and emergency medicine, with a focus on urban search and rescue (USAR). Her pioneering work on *robot-assisted medical reachback* (RAMR) redefines how medical personnel can deliver care in environments too dangerous for direct human presence. By having a robot serve as a remote surrogate, Riddle’s system enables a specialist to assess and stabilize a trapped victim through operator-mediated visual and sensor data. Her 2005 survey of 28 medical specialists (46 citations) established foundational expectations for this technology, while her 2006 simulated exercise (14 citations) revealed that shared visual information is essential for accurate remote diagnosis. Riddle also advanced the field of performance metrics, proposing in her 2004 paper (26 citations) a systems-level approach to evaluating human-robot teams in high-risk, time-critical USAR scenarios. Her work directly addresses the challenge of quantifying success in chaotic rescue operations, bridging the gap between robotic capability and real-world medical need. With over 85 combined citations, Riddle’s research remains a touchstone for engineers and clinicians developing life-saving robotic tools for disaster response.

Research Focus

Key Achievements

3
H-Index
3
Papers
86
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted medical reachback: a survey of how medical personnel expect to interact with rescue robots
46 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: CHI Systems (United States)

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago