Young Joong Kim
Papers
4
Total Citations
89
H-Index
2
About
Young Joong Kim is a researcher whose work spans two fascinating and complementary domains: mobile robotics and consumer behavior in technology-driven service environments. Early in his career, Kim made meaningful contributions to autonomous robot navigation, developing sophisticated localization techniques for mobile robots operating in complex, large-scale environments. His 2008 work on the Hybrid Extended Kalman Filter, which garnered 21 citations, introduced a highly accurate odometry model for tricycle-type robots, addressing critical challenges in dead-reckoning and uncertainty management. His earlier 2005 research explored particle filter-based person tracking in dynamic environments, reflecting a sustained interest in real-time robotic intelligence. Kim's research trajectory took a compelling turn toward human-robot interaction in commercial contexts. His most-cited work — accumulating 64 citations — examines consumer responses to robot barista coffee shops during the COVID-19 pandemic, investigating how experiential value, brand love, and generational differences shape loyalty toward automated service providers. This study bridges robotics and marketing in a timely, impactful way. Across his body of work, Kim demonstrates a rare ability to connect technical innovation with real-world human experience, making his research valuable to engineers, marketers, and hospitality scholars alike.
Research Focus
Key Achievements
Top Papers
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