Carlo Mazzola
Papers
6
Total Citations
37
H-Index
3
About
Carlo Mazzola is a researcher working at the intersection of human-robot interaction, social cognition, and perception. His work explores how humans coordinate with robots in shared environments, with a particular focus on how social robots influence fundamental cognitive processes such as visual perception and spatial reasoning. A defining contribution of his research is demonstrating that interacting with a social robot measurably alters human visual perception of space — a finding that has garnered 16 citations and challenged assumptions about the uniqueness of human-human coordination. Building on this, Mazzola has investigated how shared perception differs structurally from individual perception, revealing new dimensions of context dependency in cognitive processing. His more recent work pushes into applied robotics and AI, tackling challenges such as addressee estimation — enabling robots to identify who is being spoken to in multi-party conversations — and developing multi-modal explainability frameworks for human-aware robots. He has also explored how child-like robots influence human drawing strategies through joint attention, bridging socio-cognitive theory and human-robot interaction design. Collectively, Mazzola's research advances the vision of robots as genuine social agents capable of participating meaningfully in complex human environments, making his work highly relevant to students and researchers in cognitive science, AI, and robotics.
Research Focus
Key Achievements
Top Papers
- 1Interacting with a Social Robot Affects Visual Perception of Space16 citations · 2020
- 2
- 3
- 4
- 5
- 6