Marco Matarese
Papers
1
Total Citations
8
H-Index
1
About
Marco Matarese is an emerging researcher working at the intersection of artificial intelligence, human-robot interaction (HRI), and explainability. His most recognized contribution to date is a 2021 framework focused on user-centred Explainable Artificial Intelligence (XAI) within HRI contexts, which has garnered 8 citations and reflects growing scholarly interest in making complex AI systems more transparent and interpretable for everyday users. As AI techniques reach unprecedented levels of sophistication, Matarese's work addresses a critical challenge: bridging the gap between powerful but opaque machine learning models and the human users who must interact with and trust them. By placing the end-user at the heart of explainability design, his research advocates for AI systems that are not only technically capable but also comprehensible and meaningful to non-expert audiences. This human-centred perspective is particularly valuable in robotics, where trust and transparency are essential for safe and effective collaboration. Matarese's contributions position him as a thoughtful voice in the ongoing conversation about responsible and interpretable AI deployment in real-world, human-facing environments.
Research Focus
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Top Papers
- 1