Xaviera Xiao

Chang Gung University of Science and Technology

Papers

Total Citations

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About

Xaviera Xiao is a rising researcher in neurological rehabilitation, with a focused expertise in understanding patient experiences with advanced assistive technologies. Her work centers on the intersection of human-centered care and robotics, particularly exploring how patients with neurological disorders perceive and interact with robot-assisted gait training. Her most-cited paper, "The Experiences of Robot-Assisted Gait Training in Patients With Neurological Disorders: A Qualitative Study" (2022, 4 citations), is a landmark qualitative descriptive study that delves into the lived experiences of patients using the Lokomat Augmented Feedback module. This work provides critical, patient-driven insights that bridge the gap between technological innovation and clinical practice, highlighting the importance of emotional and psychological factors in rehabilitation. By giving voice to patients' perceptions, Xiao’s research informs the design of more empathetic and effective robotic therapies. Though early in her career, her dedication to qualitative methodology in a field often dominated by quantitative metrics marks a significant contribution, promising to shape future patient-centered rehabilitation protocols and the humanization of neurorehabilitation technology.