Antonino Asta
Papers
2
Total Citations
5
H-Index
2
About
Antonino Asta is a researcher at the forefront of affective computing and human-robot interaction (HRI), with a focused expertise in emotion recognition from textual data. His major contributions center on addressing the critical gap in non-English resources for socially intelligent robotics. Asta pioneered the development of the first structured Italian textual dataset specifically designed for emotion recognition in HRI, moving beyond generic sentiment analysis to capture nuanced emotional states in human-robot dialogue. His work is methodologically significant: he established a rigorous framework for creating ad-hoc conversational scripts from scratch, then leveraged large language models like ChatGPT to generate scalable, high-quality training data. This dual approach—combining human-defined criteria with AI-assisted generation—offers a replicable blueprint for building domain-specific affective datasets in underrepresented languages. While his most-cited works from 2023 have garnered 3 and 2 citations respectively, their true impact lies in laying the groundwork for culturally-aware, linguistically-diverse HRI systems. Asta’s research is essential reading for anyone developing emotionally intelligent robots that can understand and respond to users in their native language, pushing the field beyond the English-centric paradigm.
Research Focus
Key Achievements
Top Papers
- 1
- 2