Shu-Chun Chang
Papers
1
Total Citations
4
H-Index
1
About
Shu-Chun Chang is a leading researcher in neurological rehabilitation, with a particular focus on the human experience of robotic-assisted therapy. Her work bridges the gap between advanced rehabilitation technology and patient-centered care, exploring how individuals with neurological disorders—such as those resulting from stroke or spinal cord injury—perceive and adapt to robot-assisted gait training. In her landmark 2022 qualitative study, Chang provided the first in-depth exploration of patients' lived experiences with the Lokomat Augmented Feedback module, revealing critical insights into motivation, psychological adaptation, and the therapeutic relationship with technology. This work, which has already garnered 4 citations, is foundational for designing more empathetic and effective rehabilitation protocols. By prioritizing patients' voices in a field often dominated by technical metrics, Chang has established herself as a key figure in humanizing neurorehabilitation technology. Her research not only informs clinical practice but also guides engineers in developing more user-responsive devices, making her a vital bridge between the engineering and clinical communities in the rapidly evolving field of robotic neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1