Papers
1
Total Citations
3
H-Index
1
About
Yejin Bang is a researcher at the intersection of human-robot interaction, dialogue systems, and healthcare automation. Her most cited work, "A Humanoid Robot Dialogue System Architecture Targeting Patient Interview Tasks" (2024, 3 citations), addresses a critical challenge: designing humanoid robots that can conduct patient interviews with the nuance required for clinical settings. Bang’s research explores how human-like appearance can be leveraged to enable robots to use verbal and behavioral cues essential for effective medical communication, while carefully managing the expectations that anthropomorphism creates. This work contributes to the growing field of socially assistive robotics, aiming to reduce the burden on healthcare staff through automation. By focusing on dialogue system architecture, Bang bridges natural language processing and robotics, ensuring that interactions are not only functional but also sensitive to patient needs. Her contributions are particularly relevant as healthcare systems seek scalable solutions for routine tasks. With a clear focus on real-world impact, Yejin Bang is helping shape how robots can become trusted partners in clinical environments.
Research Focus
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Top Papers
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