Yoon Lee
Papers
1
Total Citations
6
H-Index
1
About
Yoon Lee is a pioneering researcher at the intersection of human-robot interaction and educational technology, with a primary focus on enhancing digital learning experiences through socially assistive robotics. Her most cited work, "Can We Empower Attentive E-reading with a Social Robot?" (2023, 6 citations), introduces a groundbreaking multimodal dataset and deep learning approaches that explore how empathic social robots can serve as companions to improve learners' attention during e-reading. This foundational study demonstrates Lee's innovative approach to addressing the growing challenge of maintaining focus in digital reading environments, where she hypothesizes that reflective interactions with robotic companions can significantly enhance cognitive engagement. Her research uniquely combines affective computing, machine learning, and educational psychology to create adaptive robotic systems that respond to learners' emotional and attentional states. Lee's work represents a significant step toward personalized, technology-enhanced learning environments, offering practical solutions for the widespread issue of digital distraction. As an emerging leader in this interdisciplinary field, her contributions are paving the way for more effective and engaging human-robot collaborative learning experiences.
Research Focus
Key Achievements
Top Papers
- 1