Papers
131
Total Citations
2,295
H-Index
23
About
Silvia Rossi is a prominent researcher specializing in human-robot interaction (HRI), socially assistive robotics, and affective computing, with particular emphasis on personalization, emotional intelligence, and robot-assisted care. Her work has made significant strides in understanding how robots can be made more intuitive and emotionally responsive, most notably through her highly cited 2020 survey on emotion recognition for HRI (269 citations), which has become a key reference for researchers exploring how robots can interpret and respond to human emotional states. Rossi has also shaped the field's understanding of user profiling and behavioral adaptation, addressing how robots can be tailored to individual needs and personalities across diverse contexts. Her research extends into socially assistive applications for vulnerable populations, including elderly care, pediatric anxiety reduction during medical procedures, and rehabilitation for children with ADHD using brain-computer interfaces and augmented reality. With over 1,000 cumulative citations across her most recognized works, Rossi's contributions span both theoretical foundations and real-world deployments — including a landmark field study bringing social robots directly into elderly users' homes. Her research continues to define best practices for building robots that are not merely functional, but genuinely responsive, inclusive, and human-centered.
Research Focus
Key Achievements
Top Papers
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- 2User profiling and behavioral adaptation for HRI: A survey169 citations · 2017
- 3Where to Next? The Impact of COVID-19 on Human-Robot Interaction Research105 citations · 2020
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- 8User’s Personality and Activity Influence on HRI Comfortable Distances64 citations · 2017
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