JongHwan Oh

Papers

Total Citations

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About

JongHwan Oh is a researcher at the forefront of human-robot interaction, with a focus on developing more intuitive and accessible systems for conversational robotics. His most cited work, "Apprentice of Oz: Human in the Loop System for Conversational Robot Wizard of Oz," tackles a critical bottleneck in the field: the cognitive overload faced by human operators controlling robots in real-time. By designing a "human-in-the-loop" system that reduces the mental demand of manipulating both a robot’s movement and speech, Oh directly addresses the scalability and realism of Wizard of Oz studies. This contribution is foundational for researchers aiming to study naturalistic human-robot dialogue without the constraints of fully autonomous systems. Though his citation counts are currently modest, the work’s practical relevance positions it as a building block for future interaction design. Oh’s research bridges the gap between technical control systems and human factors, making him a key voice in creating robots that can truly converse and collaborate with people in everyday settings.