Daekwang Kim
Papers
2
Total Citations
12
H-Index
2
About
Daekwang Kim is a pioneering researcher at the intersection of food science, human-robot interaction, and consumer behavior. His work centers on understanding how automation—particularly robotic baristas—shapes sensory perception, emotional response, and consumer acceptance in the food industry. Kim’s major contributions include groundbreaking studies comparing robot- and human-prepared coffee, where he uses gas chromatography-mass spectrometry (GC-MS) to analyze volatile compound profiles alongside consumer acceptability and emotional reactions. His 2023 paper, “Robot versus human barista,” has already garnered 10 citations, reflecting its timely relevance as robotics become more prevalent in food service. In a 2024 eye-tracking study, Kim further explored how consumers visually attend to robotic versus human baristas, revealing subtle differences in attention that influence perception. By blending advanced analytical chemistry with behavioral science, Kim provides critical insights for designing automated systems that meet consumer expectations. His work is essential reading for students and researchers in sensory science, food technology, and human-robot interaction, offering a rigorous framework for evaluating the future of automation in everyday dining experiences.
Research Focus
Key Achievements
Top Papers
- 1
- 2Consumer Attention to a Coffee Brewing Robot: An Eye‐Tracking Study2 citations · 2024