San Hong 홍 산ㆍ洪 山

My research develops human-centered assistive and health technologies by integrating biomechanics and physiological measurement with AI-driven modeling and human factors methods. Fluent in quantitative, qualitative, and mixed-methods approaches, I conduct lab-based and field studies using motion analysis, EMG, and multimodal behavioral data, translating empirical findings into deployable systems, including LLM-based conversational agents, across hardware, mobile, and XR platforms. My work spans the full design cycle—from participatory needs assessment through prototyping to validation—with diverse disability populations including older adults, producing evidence-based, inclusive, and scalable human–AI systems for rehabilitation, accessibility, and daily living. I collaborate across disciplines and engage with disability communities through living lab methodologies to ensure research addresses real-world needs.