Papers
9
Total Citations
56
H-Index
5
About
Alfredo Cuzzocrea’s research sits at the intersection of human-robot interaction, emotion recognition, and big data analytics, with a strong focus on developing intelligent, empathetic systems. His major contributions include pioneering a taxonomy-based framework for detecting user emotions in artificial intelligence applications—a foundational paper with 14 citations—and a composite system that enables social robots to analyze and respond to human emotional cues. Cuzzocrea has also advanced real-time detection and mining of streaming microblog posts, and he developed a genetic-fuzzy algorithm inspired by mirror neurons to enhance human-machine interfaces in big data settings. His work on scan-matching algorithms for tracking moving objects further integrates robotics with big data. Notably, he has created and assessed an Italian textual dataset for emotion recognition in human-robot interactions, leveraging ChatGPT to build ad-hoc dialogues. With a portfolio that spans gesture acquisition for humanoid robots and pattern recognition in complex environments, Cuzzocrea’s research is shaping the next generation of socially aware robots and intelligent systems.
Research Focus
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