Papers

2

Total Citations

47

H-Index

2

About

Silvia Ramis is a researcher specializing in affective computing, human-robot interaction, and facial expression recognition, with a growing focus on explainable artificial intelligence (XAI). Her work sits at the intersection of computer vision and social robotics, exploring how machines can better understand and respond to human emotional cues in real-world settings. One of her most notable contributions is the development of a framework using social robots to evaluate facial expressions "in the wild" — that is, under natural, uncontrolled conditions rather than laboratory settings. Published in 2020 and accumulating 40 citations, this work demonstrated that social robots can interact convincingly with human users while reliably recognizing their emotional states, advancing the field of human-robot interaction significantly. More recently, Ramis has extended her expertise toward inclusive technology, investigating how explainable facial expression recognition systems can be tailored for people with intellectual disabilities. This 2023 work reflects a meaningful shift toward ethical and accessible AI design, ensuring that powerful neural network models remain transparent and interpretable for vulnerable populations. With a research profile bridging technical innovation and social responsibility, Silvia Ramis is establishing herself as a thoughtful contributor to human-centered AI research.

Research Focus

Key Achievements

2
H-Index
2
Papers
47
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Using a Social Robot to Evaluate Facial Expressions in the Wild
40 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Universitat de les Illes Balears, Fundació Universitat-Empresa de les Illes Balears

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 5 days ago