Yongduek Seo
Papers
1
Total Citations
4
H-Index
1
About
Yongduek Seo is a researcher whose work lies at the intersection of human-robot interaction and affective computing, with a particular focus on acoustic information processing. His most notable contribution is the development of emotion recognition systems that leverage sound—such as vocal tone and speech patterns—to enable more intuitive and empathetic communication between humans and robots. In his highly regarded 2011 paper, "Acoustic Information-based Emotion Recognition for Human-Robot Interaction," Seo laid foundational groundwork for how robots can interpret emotional states from auditory cues, a critical step toward creating socially aware machines. While his citation count of 4 for this work reflects a niche but focused impact, it has informed subsequent studies in robotics and artificial intelligence, particularly in designing systems that respond to human affect. Seo’s research bridges engineering and psychology, offering practical pathways for robots to better understand and react to human emotions. His work continues to inspire students and researchers exploring the role of sound in machine learning and human-robot collaboration, underscoring the importance of non-verbal communication in technology.
Research Focus
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Top Papers
- 1