Papers
2
Total Citations
39
H-Index
2
About
Aouatif Najoua is a leading researcher at the intersection of educational robotics and human-robot interaction, with a particular focus on developing intelligent, socially-aware systems for learning environments. Her most impactful work, "Social Robot NAO as a Self-Regulating Didactic Mediator: a Case Study of Teaching/Learning Numeracy" (33 citations), introduces an innovative game-based approach using the NAO robot to teach arithmetic to elementary school students. This research demonstrates how social robots can serve as effective didactic mediators, adapting to students' needs and fostering self-regulated learning. Najoua also contributes to the technical foundations of human-robot interaction, as seen in her work on "Head Pose Estimation Using Lattice Computing Techniques" (6 citations), which addresses the computational challenges of processing visual stimuli for robots. By developing efficient, lattice-based methods for head pose estimation, she helps robots better interpret human cues in real-time. Her work bridges the gap between theoretical advances in computing and practical applications in education, offering scalable solutions for integrating robots into classrooms. Najoua’s research is particularly valuable for students and researchers interested in how robots can enhance learning outcomes while managing the computational constraints of real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Head Pose Estimation Using Lattice Computing Techniques6 citations · 2020