Papers
16
Total Citations
515
H-Index
8
About
Nadia Bianchi-Berthouze is a pioneering researcher whose work sits at the intersection of affective computing, human-robot interaction, and embodied communication. Her career spans foundational contributions to emotion recognition — including early categorical approaches to affective gesture recognition (2003, 93 citations) — through to cutting-edge explorations of touch technology and social robotics. A defining thread of her research is understanding how expressive, emotionally aware interaction can transform relationships between humans and machines. Her influential 2016 study on BERT (133 citations) demonstrated that affective communication strategies in collaborative robots can meaningfully build trust and mitigate the unsettling effects of operational errors — a critical insight for safe human-robot collaboration. Bianchi-Berthouze has also investigated social robots' potential to enhance elderly wellbeing, explored atypical action-observation effects in autism, and championed the role of affective touch in digital and robotic contexts, contributing landmark surveys on haptic technology (2023, 46 citations). Her more recent work advocates for experience-driven design paradigms that center human emotional needs in the development of robots that touch. Across her career, she has shaped how researchers and designers think about emotion, embodiment, and meaningful human-machine connection.
Research Focus
Key Achievements
Top Papers
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- 2A categorical approach to affective gesture recognition93 citations · 2003
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- 6Towards a situated, multimodal interface for multiple UAV control33 citations · 2010
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