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About

George Caridakis is a leading researcher at the intersection of affective computing, human-computer interaction, and intelligent educational systems. His work fundamentally explores how technology can understand and respond to human emotions, particularly within learning environments. Caridakis’s major contribution lies in bridging the historical gap between cognition and emotion in education, demonstrating that integrating affective models into ICT can significantly enhance learning outcomes. His highly cited 2019 overview of affective models in education (8 citations) established a foundational framework for this approach. More recently, Caridakis has advanced the field by investigating how large language models (LLMs) and social robots like NAO can be deployed in primary education for tasks such as cultural heritage information retrieval. His 2025 studies on empowering education with intelligent systems (6 combined citations) showcase practical applications of human-AI and human-robot interaction. Through this work, Caridakis is shaping a future where technology not only informs but also empathizes, making learning more adaptive, engaging, and effective for students.