Papers
1
Total Citations
10
H-Index
1
About
Gil-Jin Jang is a researcher whose work lies at the compelling intersection of human-robot interaction, affective computing, and artificial intelligence. His primary research focus is on developing emotionally intelligent service robots that can perceive, remember, and express human emotions, effectively bridging the gap between cold machinery and warm human interaction. Jang’s most notable contribution is his pioneering 2012 paper, "Music-aided affective interaction between human and service robot," which has garnered 10 citations. In this work, he proposed a novel, brain-inspired framework comprising three integrated systems—for perception, memory, and expression—that enables robots to identify human emotional states and respond appropriately, using music as a powerful medium for affective communication. This innovative approach represents a significant step toward creating more natural, empathetic, and engaging human-robot relationships. By grounding his work in the mechanisms of the human brain, Jang has laid important groundwork for the next generation of socially aware service robots, making his research a key reference for students and scholars interested in the future of emotionally resonant artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1Music-aided affective interaction between human and service robot10 citations · 2012