Dimitri Maglietta
Papers
1
Total Citations
2
H-Index
1
About
Dimitri Maglietta is a researcher at the forefront of Human-Robot Interaction (HRI), specializing in the nuanced dynamics of social robotics and affective computing. His work explores how robots can perceive and adapt to human emotional states, particularly through the regulation of interpersonal distance—a concept known as emotion-adapted proxemics. In his notable 2024 study, "Too Close to You? A Study on Emotion-Adapted Proxemics Behaviours," Maglietta investigates how social robots can dynamically adjust their physical proximity based on the emotional cues of their human interlocutors, aiming to foster more natural and comfortable interactions. This research addresses a critical gap in the development of socially aware robots, moving beyond static interaction models to create machines that respond sensitively to human affect. While early in his career, with his most cited paper already garnering attention, Maglietta’s work lays essential groundwork for the next generation of empathetic and context-aware robotic companions. His contributions are particularly relevant for advancing conversational agents and assistive technologies, promising to make human-robot encounters more intuitive, respectful, and emotionally intelligent.
Research Focus
Key Achievements
Top Papers
- 1Too Close to You? A Study on Emotion-Adapted Proxemics Behaviours2 citations · 2024