Dojoon Jung

National Disaster Management Research Institute

Papers

Total Citations

H-Index

About

Dojoon Jung is a researcher focused on advancing human-robot interaction (HRI) through intuitive, non-verbal communication methods. His most cited work, "Human Robot Interaction Method by Using Hand Gesture Recognition" (2017), explores how natural hand gestures can bridge the gap between humans and machines, enabling more seamless and accessible robotic control. This contribution addresses a critical challenge in robotics—making interaction more user-friendly without relying on complex interfaces or programming. While his citation count remains modest, Jung’s research lays foundational groundwork for gesture-based HRI systems, which are increasingly vital in assistive robotics, manufacturing, and smart environments. His approach emphasizes real-time recognition and responsiveness, aiming to reduce cognitive load on users while enhancing robot autonomy. Jung’s work reflects a growing trend toward human-centered design in robotics, where the goal is not just technical capability but intuitive usability. For students and researchers entering the field, his research underscores the importance of bridging engineering and human factors to create robots that truly collaborate with people.