Papers
1
Total Citations
3
H-Index
1
About
Jeyoun Dong is a researcher focused on human-robot interaction and usability engineering, with a particular emphasis on collaborative robotics. Their most-cited work, "A Study on the Usability Evaluation of Teaching Pendant for Manipulator of Collaborative Robot" (2021), addresses a critical gap in the design of interfaces for industrial robots—specifically, how operators interact with teaching pendants to program and control collaborative manipulators. By applying systematic usability evaluation methods, Dong’s research contributes to making robot programming more intuitive, efficient, and safer for human workers, which is essential as collaborative robots become more prevalent in manufacturing and small-scale industries. While their citation count is currently modest, the work holds practical significance for improving human-robot collaboration in real-world settings. Dong’s research sits at the intersection of ergonomics, interface design, and robotics, offering insights that can directly influence the development of more user-friendly robot control systems. Their contributions are particularly relevant for students and researchers interested in the human factors of automation and the design of accessible robotic interfaces.
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Top Papers
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