Yi‐Ya Chang

Chang Gung University of Science and Technology

Papers

Total Citations

H-Index

About

Yi-Ya Chang is a rehabilitation scientist whose work centers on the intersection of neurological recovery and human-robot interaction. Her primary research areas include robot-assisted gait training, patient-centered rehabilitation, and the qualitative exploration of lived experiences in neurorehabilitation. Chang’s most notable contribution is her pioneering qualitative study, "The Experiences of Robot-Assisted Gait Training in Patients With Neurological Disorders," which provides critical insights into how patients perceive and engage with robotic devices like the Lokomat Augmented Feedback module. By foregrounding patient voices, her work bridges a gap between technological advancement and human experience, offering evidence that can shape more empathetic and effective rehabilitation protocols. While her citation count is still growing—reflecting the emerging nature of this field—her study has already garnered attention for its novel methodology and practical implications. Chang’s research is particularly valuable for clinicians and engineers seeking to design interventions that are not only technically sound but also psychologically supportive. Her dedication to qualitative inquiry in a technology-driven domain marks her as a thoughtful innovator in rehabilitation science.