Sunmin Kim
Papers
1
Total Citations
2
H-Index
1
About
Sunmin Kim investigates the intersection of human-robot interaction and consumer behavior, with a particular focus on service robotics in the food industry. Her most-cited work, "Consumer Attention to a Coffee Brewing Robot: An Eye‐Tracking Study" (2024), pioneers the use of eye-tracking technology to compare how people visually engage with robot versus human baristas. This study, involving seventy participants, revealed distinct patterns in gaze behavior, offering empirical insights into consumer attention allocation during service encounters—a critical contribution as automation reshapes hospitality. While still early in her career, Kim’s research addresses pressing questions about trust, perception, and acceptance of autonomous systems in everyday settings. Her work bridges cognitive science and applied robotics, providing actionable findings for designing more engaging and socially acceptable service robots. By quantifying subtle attentional differences, she lays groundwork for understanding how humans intuitively respond to non-human agents, a key challenge in human-robot interaction. Kim’s approach signals a promising trajectory in empirically grounded, user-centered robotics research.
Research Focus
Key Achievements
Top Papers
- 1Consumer Attention to a Coffee Brewing Robot: An Eye‐Tracking Study2 citations · 2024