Antonio Piccinno

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About

Antonio Piccinno is a leading researcher in Human-Computer Interaction, with a focus on end-user development, ambient intelligence, and computational thinking education. His work bridges the gap between non-expert users and complex technological systems, empowering people to configure and interact with smart environments without programming expertise. His highly cited 2016 study on rule-based tools for ambient intelligence configuration (48 citations) demonstrated how intuitive interfaces can enable users to personalize smart spaces, significantly advancing the field of end-user development. More recently, Piccinno has pioneered innovative approaches to computational thinking education, notably using the Pepper social robot to teach coding in primary schools. This work, published in 2021, represents a novel intersection of social robotics and early childhood education, showing how embodied agents can make abstract programming concepts tangible and engaging for young learners. His research has practical implications for both smart home technology and educational methodology, making complex systems accessible to diverse user populations. Piccinno’s contributions continue to shape how we design interactive systems that empower users, from children learning to code to adults customizing their intelligent environments.