Papers
4
Total Citations
10
H-Index
2
About
Jiyeon Lee is a rising researcher in human-robot interaction, specializing in computational emotion models that make social robots more expressive and relatable. Her work focuses on developing dynamic, multimodal expression systems that allow robots to convey lingering emotional states through coordinated facial expressions, color displays, and movement. Lee’s key contributions include the Expanded Linear Dynamic Affect-Expression Model, which enables robots to transition smoothly between emotions rather than jumping between static poses, creating more natural and engaging interactions. Her studies on human perception of robot face and color expression have shown that thoughtful color integration can significantly enhance user acceptance and communication effectiveness. With papers published in 2023–2024, Lee’s work is already gaining traction, with her top-cited articles accumulating several citations in a short time. Notably, her research on facial expression customization for social robots addresses a critical gap: the need for personalized, non-rigid emotional displays that adapt to context. By tackling the unnaturalness of predetermined emotion sequences, Lee is helping shape the next generation of emotionally intelligent social robots, making them more intuitive companions for everyday users.
Research Focus
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