Rosa Lanzilotti

Papers

Total Citations

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About

Rosa Lanzilotti is a leading researcher in Human-Computer Interaction, with a focus on Ambient Intelligence (AmI) and educational technology. Her work bridges the gap between complex intelligent systems and their end-users, particularly in the domains of usability and learning. She is best known for her pioneering comparative study on rule-based tools for configuring AmI systems (48 citations), which provided critical insights into how non-expert users can effectively manage smart environments. More recently, Lanzilotti has made significant contributions to computational thinking (CT) education, exploring innovative approaches to teach coding in primary schools. Her 2021 study on using the Pepper Social Robot as a teaching assistant for CT education represents a novel intersection of social robotics and pedagogy, demonstrating how embodied agents can engage young learners in programming concepts. This work highlights her commitment to accessible, user-centered design in emerging technologies. With a growing citation impact, Lanzilotti continues to shape how we understand and design intuitive interfaces for both intelligent environments and educational tools, making her research essential reading for those interested in the human side of AI and technology-enhanced learning.