Laura De Santis
Papers
2
Total Citations
3
H-Index
1
About
Laura De Santis is a pioneering researcher at the intersection of social robotics, affective computing, and technology-enhanced learning. Her work centers on designing emotionally intelligent human-robot interactions to transform educational experiences, with a particular focus on how robots like the Furhat social platform can adapt to students’ emotional states—such as engagement, stress, and frustration—to personalize instruction. In her highly cited 2025 study, “Adapting Educational Content to Student Emotions,” she demonstrated that real-time emotional AI can significantly improve learner support, laying groundwork for more responsive computational social systems. Her follow-up work on robot-mediated quizzes for team-based learning further extends this impact, showing how collaborative, emotionally aware robots can foster deeper engagement in group settings. Though early in her career, De Santis’s contributions are already shaping the future of adaptive education, merging robotics with affective science to create empathetic, scalable learning tools. Her research promises to redefine how machines understand and respond to human emotion in real-world classrooms.
Research Focus
Key Achievements
Top Papers
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