Tsung‐Lan Chu

Chang Gung University of Science and Technology

Papers

Total Citations

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About

Dr. Tsung-Lan Chu is a leading researcher at the intersection of assistive robotics and human-computer interaction, with a primary focus on developing intelligent systems for elderly care. Her most cited work, "Image and Speech Recognition Technology in the Development of an Elderly Care Robot: Practical Issues Review and Improvement Strategies" (2022, 9 citations), addresses a critical global challenge: the aging population and the shortage of caregiving manpower. In this seminal paper, Dr. Chu provides a comprehensive review of practical obstacles in deploying image and speech recognition technologies for care robots, offering targeted improvement strategies to make these systems more responsive to individual elderly behaviors. Her contributions are particularly notable for bridging the gap between theoretical AI capabilities and real-world caregiving needs, emphasizing humanized interaction over mere automation. By identifying key technical bottlenecks—such as noise interference in speech recognition and lighting-dependent image processing—she has laid a practical roadmap for developing more empathetic, context-aware robotic caregivers. Dr. Chu's work is essential reading for researchers in gerontechnology, human-robot interaction, and assistive AI, offering actionable insights for creating robots that can truly adapt to the nuanced, individual needs of aging populations.