Jeh-Kwang Ryu

Papers

Total Citations

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About

Jeh-Kwang Ryu is a pioneering researcher at the intersection of human-robot interaction (HRI) and artificial intelligence, with a focus on enhancing the quality of life for older adults. His work centers on developing adaptive, intelligent robotic systems that can engage meaningfully with humans in real-world care settings. Ryu’s most notable contribution is the creation of an adaptive robot-mediated assessment system that integrates the CLOi robot with a large language model (LLM) to conduct real-time, personalized satisfaction surveys for older adults in care programs. This innovation, detailed in his 2025 study, allows robots to dynamically adjust their questions based on participant responses, significantly improving survey quality and user engagement. His earlier work on uncertainty-resolving questions for social robots (2023) laid the groundwork for this advancement, demonstrating how robots can use question-answering to reduce ambiguity in interactive environments. Though his citation counts are currently modest (3 each), these foundational papers are already shaping the future of socially assistive robotics. Ryu’s research promises to revolutionize eldercare by making robot interactions more empathetic, adaptive, and effective—a critical step toward integrating AI companions into healthcare.