Kyungduk Kim
Papers
2
Total Citations
97
H-Index
2
About
Kyungduk Kim is a leading researcher in spoken dialog systems, whose work has significantly advanced the automation and evaluation of human-computer interaction. His primary research areas include user simulation, robust dialog management, and data-driven approaches to system evaluation. Kim's most influential contribution is his pioneering work on data-driven user simulation for automated evaluation of spoken dialog systems (74 citations), which introduced a scalable method for testing dialog systems without costly human trials. He further strengthened the field with his hybrid approach to robust dialog management, combining agenda-based and example-driven techniques (23 citations), enabling more flexible and context-aware conversational agents. Kim's research has been instrumental in bridging the gap between rule-based and statistical methods, offering practical solutions for real-world deployment. His contributions have been recognized in top venues, and his work continues to inspire new generations of researchers aiming to build more natural and reliable spoken dialog systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Hybrid approach to robust dialog management using agenda and dialog examples23 citations · 2009