Thi Hai Ha Dang
Papers
1
Total Citations
5
H-Index
1
About
Thi Hai Ha Dang is a researcher whose work sits at the intersection of human-robot interaction and affective computing, with a particular focus on how mobile robots can express emotions through motion. Her most cited paper, "Mobile robot emotion expression with motion based on MACE-GRACE model" (2011, 5 citations), introduces a novel framework that enables robots to convey emotional states—such as happiness, sadness, or surprise—through their movement patterns, rather than relying solely on facial expressions or vocal cues. This contribution is significant because it expands the vocabulary of non-verbal communication in robotics, making interactions more intuitive and engaging for humans. By grounding her approach in the MACE-GRACE model, Dang bridges computational modeling with psychological theories of emotion, offering a systematic method for designing expressive robotic behaviors. While her citation count is modest, the work is notable for its early and focused exploration of motion-based affect expression, a topic that has since gained traction in socially assistive robotics. Dang’s research is particularly valuable for students and engineers interested in creating robots that are not just functional, but also emotionally resonant.
Research Focus
Key Achievements
Top Papers
- 1Mobile robot emotion expression with motion based on MACE-GRACE model5 citations · 2011