Haeyeon Lee
Papers
3
Total Citations
19
H-Index
2
About
Haeyeon Lee is a researcher dedicated to enhancing the quality of life for elderly individuals through human-robot interaction, with a primary focus on conversational AI and cloud-based chat robot systems. Lee’s major contributions lie in developing and analyzing dialogue systems specifically designed for long-term engagement with older adults, addressing the critical challenge of preventing social isolation and boredom. Notably, Lee pioneered a cloud-based chat robot that leverages dialogue histories to create more natural, context-aware interactions, moving beyond rigid, pre-programmed phrase databases that require immense manual effort. This foundational work, cited 14 times, demonstrated the feasibility of adaptive, voice-based conversation for seniors. Lee further advanced the field by analyzing real dialogue histories from elderly users over extended periods (one to two weeks), providing empirical insights into user engagement patterns and system performance. Additionally, Lee proposed a novel category estimation method for voice-based utterances, enabling more intelligent topic tracking and response generation. With a cumulative impact of nearly 20 citations, Lee’s research offers a compassionate, technically grounded approach to assistive robotics, making significant strides toward creating socially supportive, long-term home companions for the aging population.
Research Focus
Key Achievements
Top Papers
- 1A cloud based chat robot using dialogue histories for elderly people14 citations · 2015
- 2
- 3Analysis of category estimation for cloud based chat robot2 citations · 2016