Ghanghoon Paik
Papers
1
Total Citations
3
H-Index
1
About
Ghanghoon Paik is a researcher at the forefront of human-robot interaction in emergency scenarios, with a primary focus on modeling evacuee behavior during robot-guided evacuations. His most cited work, "Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments" (2023), has garnered 3 citations, establishing a foundational framework for understanding how people decide to follow robotic guides in high-stress situations. Paik’s major contribution lies in developing computational models that capture the nuanced factors—such as trust, perceived authority, and environmental cues—that influence an evacuee’s compliance with robot instructions. By integrating experimental data with machine learning techniques, his research bridges the gap between theoretical human-robot interaction and practical emergency response systems. This work is critical for designing robots that can adapt their guidance strategies in real time, potentially saving lives in fires, earthquakes, or other disasters. Paik’s achievements include pioneering the use of controlled evacuation experiments to validate these models, a methodological innovation that has inspired further studies in the field. His research not only advances robotics but also informs safety protocols, making him a key contributor to the growing intersection of autonomous systems and public safety.
Research Focus
Key Achievements
Top Papers
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