Maurizio Preziuso
Papers
1
Total Citations
61
H-Index
1
About
Maurizio Preziuso is a leading researcher in social robotics and human-robot interaction, with a particular focus on child-robot engagement and affective computing. His most cited work, "Facilitating the Child–Robot Interaction by Endowing the Robot with the Capability of Understanding the Child Engagement: The Case of Mio Amico Robot" (2020, 61 citations), addresses a core challenge in the field: enabling robots to perceive and respond to a child's emotional and attentional state during interaction. Preziuso's contributions center on developing computational models that allow social robots to interpret engagement cues—such as gaze, posture, and vocalizations—thereby making interactions more natural, adaptive, and human-like. This work has significant implications for educational and assistive robotics, where sustained engagement is critical for learning and therapeutic outcomes. By bridging the gap between robotic sensing and human affective behavior, Preziuso has helped advance the design of socially intelligent machines that can build rapport with young users. His research continues to influence how robots are deployed in real-world settings, from classrooms to therapy sessions, and underscores the importance of empathy-driven interaction in building trust between humans and machines.
Research Focus
Key Achievements
Top Papers
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