Papers
92
Total Citations
2,856
H-Index
26
About
Ginevra Castellano is a pioneering researcher in social robotics, human-robot interaction, and affective computing, whose work has fundamentally shaped our understanding of how robots can perceive, model, and respond to human emotions. Best known for developing empathic and socially intelligent robot companions, Castellano has made landmark contributions to affect recognition, user engagement detection, and long-term human-robot interaction — particularly with children in educational contexts. Her highly cited work on empathic robots (256 citations) and automatic affective posture analysis (245 citations) established foundational frameworks for robots capable of reading naturalistic human behavior. Her research on detecting engagement in child-robot interaction (159 citations) pioneered the use of social and task-based features to sustain meaningful, adaptive interactions. More recently, her meta-analysis on children's trust in robots (90 citations) and her comprehensive overview of engagement in human-agent interaction (143 citations) demonstrate her evolving influence across the field. Castellano's work on adaptive robotic tutors supporting self-regulated learning (98 citations) highlights her commitment to real-world educational applications. With over 1,300 cumulative citations across her top papers alone, she stands as one of the most impactful voices in socially intelligent robotics today.
Research Focus
Key Achievements
Top Papers
- 1Empathic Robots for Long-term Interaction256 citations · 2014
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- 4Engagement in Human-Agent Interaction: An Overview143 citations · 2020
- 5Modelling empathic behaviour in a robotic game companion for children105 citations · 2012
- 6The Persistence of First Impressions99 citations · 2020
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- 8A Meta-analysis on Children’s Trust in Social Robots90 citations · 2021
- 9Modelling Empathy in Social Robotic Companions86 citations · 2012
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