Manyoel Lim
Papers
1
Total Citations
2
H-Index
1
About
Manyoel Lim is a rising scholar at the intersection of human-robot interaction, consumer behavior, and service technology. Their work explores how people perceive and engage with automated systems in everyday settings, with a particular focus on the food service industry. Lim’s most cited study, “Consumer Attention to a Coffee Brewing Robot: An Eye‐Tracking Study” (2024), offers a pioneering look at how consumers visually process robot versus human baristas. By tracking the eye-gaze behavior of seventy participants, Lim demonstrated measurable differences in attention allocation, providing early empirical evidence for how robotic service agents shape consumer perception. Though still early in their career, Lim’s research has already garnered citations, signaling growing interest in their methodological approach—combining biometric tools with real-world service scenarios. This work contributes to a critical conversation about automation’s social and sensory impacts, positioning Lim as a researcher to watch in the evolving field of human-robot interaction and service design.
Research Focus
Key Achievements
Top Papers
- 1Consumer Attention to a Coffee Brewing Robot: An Eye‐Tracking Study2 citations · 2024