Marco de Gemmis

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About

Marco de Gemmis is a leading researcher at the intersection of artificial intelligence, human-computer interaction, and social robotics. His work focuses on developing intelligent systems that can understand and respond to human behavior, with a particular emphasis on conversational recommender systems (CoRSs) and educational robotics. A key contribution is his pioneering exploration of how social robots can interpret non-verbal communicative acts—such as gestures, facial expressions, and tone of voice—to better recognize user feedback and preferences during interactions. This research, detailed in his most-cited paper (29 citations), bridges the gap between traditional text-based recommenders and more intuitive, human-like interfaces. De Gemmis has also advanced the application of humanoid robots in education, investigating their roles as tutors, learning companions, and therapeutic assistants. His work on "Advanced Programming of Intelligent Social Robots" (12 citations) provides practical frameworks for integrating these technologies into schools, while his preliminary study on humanoid robots and CoRSs (5 citations) explores how embodied agents can enhance recommendation dialogues. By combining technical programming expertise with insights from cognitive science, de Gemmis is shaping the future of adaptive, socially-aware AI systems that learn from and collaborate with people in real-world settings.