Soo Jung Jang
Papers
2
Total Citations
40
H-Index
2
About
Soo Jung Jang is a leading researcher at the intersection of human-robot interaction, child development, and affective computing. Her work fundamentally reimagines how social robots can support family dynamics, moving beyond the conventional child-robot dyad to pioneer triadic interactions where robots empower parents to engage more meaningfully with their children. Her highly cited 2022 study on long-term parent-child-robot interaction at home (23 citations) provides groundbreaking insights into designing technology that strengthens, rather than replaces, human bonds. Complementing this, Jang introduced the DAMI-P2C Dataset (17 citations), a vital resource for analyzing dyadic affect in parent-child multimodal communication. This work addresses a critical gap: many children lack high-quality conversational interactions at home, and Jang’s research positions interactive technology as a scalable, accessible intervention. By rigorously analyzing emotional and behavioral cues in naturalistic settings, she is laying the empirical foundation for robots that can sense and respond to complex family dynamics. Her contributions are shaping a future where technology serves as a catalyst for richer parent-child relationships, making her a pivotal voice in socially assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2