Mattia Atzeni

Papers

Total Citations

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About

Mattia Atzeni is a researcher whose work bridges artificial intelligence, human-robot interaction, and end-user development. His most impactful contributions center on sentiment analysis and deep learning, particularly in multi-domain contexts where machines must interpret human emotions across varied settings. His 2019 paper on multi-domain sentiment analysis with mimicked and polarized word embeddings for human-robot interaction has garnered 48 citations, demonstrating its influence in enabling more intuitive and emotionally aware robotic systems. Building on this, his 2018 deep learning and sentiment analysis work for human-robot interaction (21 citations) further advanced the field by integrating neural approaches to decode human affective states. Atzeni also explores semantic approaches for general-purpose end-user development, addressing the critical challenge of making software creation accessible beyond professional programmers. His work on semantic frameworks aims to simplify code understanding and automation for non-experts, reflecting a commitment to democratizing technology. With a research portfolio that spans emotional AI, human-robot collaboration, and accessible development tools, Atzeni is contributing to a future where machines not only understand human sentiment but also empower a broader range of users to shape their own digital environments.