Yi-Luen Wu

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About

Yi-Luen Wu is a researcher at the intersection of human-robot interaction, assistive technology, and cognitive well-being, with a focus on designing socially intelligent systems that enhance memory recall and emotional health. Her most cited work, "Interactive Question-Posing System for Robot-Assisted Reminiscence From Personal Photographs" (2019), has garnered 13 citations and represents a pioneering contribution to robot-assisted therapy. In this study, Wu developed a companion robot capable of engaging older adults in reminiscence by posing context-aware questions triggered by personal photographs, thereby supporting self-esteem and happiness through meaningful dialogue. This work bridges artificial intelligence and gerontechnology, demonstrating how robots can serve as empathetic conversational partners rather than mere tools. Wu’s research is notable for its human-centered design, emphasizing the role of memory in everyday social interaction and lifelong well-being. Her achievements include advancing the field of socially assistive robotics by integrating natural language processing with psychological principles of reminiscence therapy. For students and researchers, Wu’s work offers a compelling model of how technology can be harnessed to foster emotional resilience and cognitive engagement across the lifespan.