One-Ki Daniel Lee
Papers
2
Total Citations
125
H-Index
2
About
One-Ki Daniel Lee is a leading researcher at the intersection of human-robot interaction and hospitality service design. His work fundamentally explores how robotic systems can be optimized for guest-facing roles, with a particular focus on anthropomorphism and user experience. Lee’s most influential paper, “Is it the best for barista robots to serve like humans?” (71 citations), challenges conventional assumptions by critically examining whether human-like robot behavior is always desirable in service contexts. He further advanced the field through “Exploring the Attractiveness of Service Robots in the Hospitality Industry” (54 citations), which leverages online review analysis to identify the key attributes that make robots appealing to customers. Together, these studies have shaped how industry and academia approach robot design in hotels, cafes, and restaurants, emphasizing that effective service robotics requires more than just technical capability—it demands a nuanced understanding of human perception. Lee’s work has been instrumental in moving the conversation from “can robots serve” to “how should robots serve,” making him a pivotal voice in the growing field of hospitality robotics.
Research Focus
Key Achievements
Top Papers
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