Jieun Han
Papers
3
Total Citations
29
H-Index
3
About
Jieun Han is a researcher at the intersection of human-robot interaction, healthcare service design, and intelligent task planning. Her work primarily explores how robots can be effectively integrated into real-world healthcare and domestic environments—moving beyond technical capability to address the critical factors that determine real-world adoption. In her highly cited 2017 study on the “servicescape of nurse assistive robots,” Han introduced a novel framework for designing healthcare robots by prioritizing the human experience of service environments, arguing that success hinges not just on function but on ecological and experiential fit. This work, with 20 citations, established her as a key voice in human-centered robotics. More recently, she has advanced the field of robot manipulation by leveraging Large Language Models for long-horizon task planning, as demonstrated in her 2024 paper on cooking tasks—a contribution that addresses the critical challenge of generalization in unseen scenarios. Han’s research is notable for its interdisciplinary approach, blending qualitative insights from healthcare with cutting-edge AI. Her work on “intelligent healthscape” models further underscores her commitment to designing robotic systems that are not only intelligent but ecologically coherent, making her a pioneering figure in creating robots that truly serve people.
Research Focus
Key Achievements
Top Papers
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