Papers
12
Total Citations
156
H-Index
8
About
Giovanna Varni is a leading researcher at the intersection of social robotics, affective computing, and human-robot interaction (HRI). Her work focuses on how robots can perceive, interpret, and respond to human social and emotional cues, with a particular emphasis on non-verbal behavior and personality traits. She has made significant contributions to the development of robotic systems for autism therapy, notably designing a multimodal, multilevel humanoid robot system to improve eye contact and joint attention in children with ASD (35 citations). Varni is also recognized for her pioneering work in automatically predicting extraversion from non-verbal features during HRI, with multiple papers on this topic accumulating over 40 citations. Her research extends to group dynamics, where she has developed algorithms for detecting social groups in crowds using low-level video features, and to the study of emotional attribution and facial mimicry toward artificial agents. She is the creator of SyncPy, an open-source Python library for interpersonal synchrony analysis. With a growing body of highly cited work, Varni is shaping how robots understand and engage with human social behavior.
Research Focus
Key Achievements
Top Papers
- 1
- 2Automated Prediction of Extraversion During Human–Humanoid Interaction23 citations · 2017
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- 7SyncPy9 citations · 2015
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- 10Exploring the Link between Self-assessed Mimicry and Embodiment in HRI7 citations · 2017