Benedetta Bucci
Papers
2
Total Citations
24
H-Index
2
About
Benedetta Bucci is a researcher at the intersection of human-robot interaction (HRI) and affective computing, with a focus on designing socially intelligent robots that adapt to human emotions and social contexts. Her work explores how robots can perceive and respond to human affective states, particularly in child-robot interaction, where she has investigated the emotional valence of sounds to create more natural and empathetic exchanges. Bucci’s research also delves into robot personality and occupational roles, examining how tailoring a robot’s demeanor—such as being more playful or authoritative—can enhance personalization and user acceptance in diverse settings. Her most-cited papers, including “Evaluating the Emotional Valence of Affective Sounds for Child-Robot Interaction” (13 citations) and “Shall I Be Like You? Investigating Robot’s Personalities and Occupational Roles for Personalised HRI” (11 citations), highlight her contributions to making robots more relatable and context-aware. By bridging emotion recognition and adaptive behavior, Bucci’s work informs the design of robots that can serve as companions, educators, or assistants, advancing the field toward more intuitive and human-centered AI.
Research Focus
Key Achievements
Top Papers
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