Jin Kang
Papers
1
Total Citations
8
H-Index
1
About
Jin Kang is a pioneering researcher at the intersection of social robotics, human-robot interaction, and affective computing. Her work critically examines how humans perceive and emotionally respond to robots equipped with Theory of Mind (ToM)—the ability to attribute mental states to others. In her most-cited paper, "Social Robots with a Theory of Mind: Are We Threatened When They Can Read Our Emotions?" (2019), Kang explores the nuanced psychological dynamics that emerge when robots can infer human emotions, revealing that such capabilities can evoke both fascination and unease. This study, with 8 citations, has laid foundational groundwork for understanding trust, privacy, and acceptance in human-robot relationships. Kang’s contributions are vital as society integrates increasingly empathetic machines into daily life, from healthcare to education. Her research not only advances technical design but also informs ethical guidelines for emotionally intelligent AI. By probing the boundaries of machine empathy, Jin Kang is shaping how we coexist with robots that understand us—and how we feel about being understood.
Research Focus
Key Achievements
Top Papers
- 1