Mingyue Yu
Papers
1
Total Citations
4
H-Index
1
About
Mingyue Yu is a researcher at the intersection of human-robot interaction and educational technology, with a focus on designing robotic systems that enhance children’s learning experiences. Her most cited work, "Towards the Design of a Robot for Supporting Children’s Attention During Long Distance Learning" (2020), addresses a critical challenge in remote education: maintaining student engagement. By proposing a robot that can detect and respond to lapses in attention, Yu’s research offers a practical, scalable solution for distance learning environments—a need amplified by the global shift to online education. While her citation count (4) reflects an emerging career, the timeliness and real-world relevance of her work signal its potential for broader impact. Yu’s contributions lie in bridging cognitive science and robotics, using behavioral cues to inform adaptive robotic responses. Her work not only advances the design of socially assistive robots but also provides a framework for future studies on child-robot interaction in educational settings. As remote learning continues to evolve, Yu’s research stands as a foundational step toward more responsive, supportive digital classrooms.
Research Focus
Key Achievements
Top Papers
- 1