Cleo Sgouropoulou
Papers
1
Total Citations
33
H-Index
1
About
Cleo Sgouropoulou is a leading researcher at the intersection of affective computing, human–robot interaction, and technology-enhanced learning. Her work explores how emotionally intelligent systems can transform digital education and personalized user experiences. In her highly cited 2022 study on emotion recognition using the NAO robot, she demonstrated how affective computing can be integrated into educational robotics to tailor interactions based on learners’ emotional states. This contribution, with 33 citations, has become a foundational reference for researchers designing adaptive learning environments. Sgouropoulou’s research shows that by embedding emotion-aware capabilities into robots and digital platforms, we can create more engaging, responsive, and human-centered educational tools. Her work is particularly influential in the fields of inclusive education and assistive technologies, where understanding user affect is critical. Through her innovative use of social robots like NAO, she has opened new pathways for making learning not only smarter but also more empathetic.
Research Focus
Key Achievements
Top Papers
- 1Emotion Recognition in Human–Robot Interaction Using the NAO Robot33 citations · 2022