Papers

1

Total Citations

9

H-Index

1

About

Jeeyong Chung is a researcher whose work sits at the intersection of human-computer interaction, assistive robotics, and rehabilitation technology. His most-cited paper, "Shape-changing robot for stroke rehabilitation" (2014), has garnered 9 citations and explores how computing technologies can be designed to support motor-impaired individuals during physical therapy. Chung’s key contribution lies in recognizing that patient motivation is critical to rehabilitation effectiveness—a factor often overlooked in technical studies that focus solely on clinical outcomes. By investigating shape-changing robots as therapeutic tools, he has helped shift the conversation toward user-centered design in assistive technology. His research underscores the importance of creating interactive systems that not only improve motor function but also sustain patient engagement over time. While his citation count is modest, Chung’s work is notable for its early integration of motivational psychology with robotics, offering a human-centered perspective that resonates with researchers in rehabilitation engineering and HCI. His contributions are particularly relevant for students and scholars interested in designing technologies that bridge the gap between clinical efficacy and patient experience.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Shape-changing robot for stroke rehabilitation
9 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Korea Advanced Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago