Sin‐Hwa Kang
Papers
1
Total Citations
29
H-Index
1
About
Sin-Hwa Kang is a leading researcher in human-computer interaction, with a focus on affective computing, social robotics, and the psychological impact of technology. Her work explores how people disclose intimate personal information to artificial agents, revealing that interactions with computers can yield emotional and psychological benefits similar to human-to-human disclosure. In her highly cited 2019 paper, "Multimodal Analysis and Estimation of Intimate Self-Disclosure" (29 citations), Kang and her colleagues analyzed verbal and nonverbal behavioral cues to model and predict self-disclosure in human-agent interactions. This research has significant implications for designing empathetic virtual assistants and therapeutic AI systems. Kang’s contributions bridge computational analysis with psychological theory, advancing our understanding of how technology can support mental well-being. Her work is foundational for researchers developing socially aware agents capable of fostering trust and emotional connection.
Research Focus
Key Achievements
Top Papers
- 1Multimodal Analysis and Estimation of Intimate Self-Disclosure29 citations · 2019