Youngeun Jang

Seoul National University of Science and Technology

Papers

Total Citations

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About

Youngeun Jang is a leading researcher in social robotics and human-robot interaction, with a primary focus on developing emotionally intelligent robotic systems. Her most-cited work, the "Robot Facial Expression Framework for Enhancing Empathy in Human-Robot Interaction" (2021, 12 citations), introduces a groundbreaking approach to enabling robots to dynamically generate facial expressions that foster genuine empathy during interactions. This framework directly addresses the challenge of making social robots more relatable and trustworthy, a critical step for their integration into healthcare, education, and service roles. Jang’s contributions center on bridging the gap between technical expression generation and human emotional perception, demonstrating how socially intelligent robots can adapt their nonverbal cues to improve user engagement and comfort. Her research has been recognized for its practical implications, offering a scalable blueprint for designing robots that communicate not just information, but also emotional resonance. By prioritizing empathy as a core design principle, Jang is shaping a future where human-robot collaboration feels more natural, intuitive, and socially rewarding.