Papers
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Total Citations
2
H-Index
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About
Hyunju Kim is an emerging researcher at the intersection of human-computer interaction, smart environments, and autonomous robotics. Her work focuses on developing intelligent systems that adapt to individual human needs within built environments, with particular emphasis on personalized thermal comfort and Indoor Environment Quality (IEQ) in smart spaces. Her notable contribution, "Towards Deployment of Mobile Robot Driven Preference Learning for User-State-Specific Thermal Control in A Real-World Smart Space" (2023), demonstrates her innovative approach to combining mobile robotics with machine learning to create environments that respond dynamically to occupant preferences — a technically demanding challenge that bridges robotics, environmental sensing, and human-centered design. This work has already begun attracting scholarly attention, accumulating citations that reflect growing interest in robot-mediated environmental control systems. Kim's research addresses a critical gap in smart building technology: the shift from generalized environmental settings to genuinely personalized, data-driven comfort optimization. Her contributions are particularly relevant as researchers and practitioners seek to design more responsive, energy-efficient, and human-centric built environments, positioning her as a promising voice in the evolving field of intelligent space management.
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Top Papers
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