Won‐Sook Lee
Papers
4
Total Citations
71
H-Index
3
About
Won-Sook Lee is a leading researcher in haptic feedback and virtual reality, whose work has significantly advanced the realism of tactile interactions in digital environments. Her primary research areas include haptic vibration texture modeling, multi-agent systems, and autonomous virtual agents. Lee's most impactful contribution is her development of novel infinite-impulse-response (IIR) filter models for haptic vibration textures, which enable more accurate and realistic tactile feedback when users explore virtual surfaces. Her seminal 2010 paper on "IIR Filter Models of Haptic Vibration Textures" has garnered 36 citations, while her 2009 follow-up on "Modelling of haptic vibration textures with infinite-impulse-response filters" has received 28 citations, establishing her as a key figure in haptics research. Additionally, Lee has explored the design of migrating agents in multi-agent systems, investigating how agents can transfer between different embodiments, such as from graphical avatars to robotic androids. Her work on autonomous virtual agents, inspired by onboard autonomy architectures, further demonstrates her interdisciplinary approach to creating intelligent, embodied systems. Lee's research continues to shape the future of immersive virtual experiences and human-computer interaction.
Research Focus
Key Achievements
Top Papers
- 1IIR Filter Models of Haptic Vibration Textures36 citations · 2010
- 2
- 3On designing migrating agents5 citations · 2014
- 4