Maria Luisa Sica

Papers

Total Citations

109

H-Index

About

Maria Luisa Sica is a pioneering researcher at the intersection of social robotics, affective computing, and assistive technologies for neurodevelopmental disorders. Her most influential work centers on human-robot interaction (HRI) for autism therapy, where she has demonstrated how android robots can serve as powerful mediators for social and emotional learning. In her landmark 2007 study on the android FACE (Facial Automation for Conveying Emotions), Sica showed that highly human-like robots can engage children with Autism Spectrum Disorders (ASDs) in non-verbal emotional communication, fostering adaptive social dynamics. This work, cited 68 times, established FACE as a platform for exploring imitation, emotional responsiveness, and proactive interaction in ASD therapy. Her 2008 follow-up study (41 citations) further validated that robotic systems can widen emotive responsiveness in children with ASDs, offering a controlled, predictable social partner that reduces anxiety and encourages interaction. Sica’s contributions bridge engineering and clinical psychology, providing a framework for designing socially assistive robots that adapt to individual needs. Her research has profound implications for developing scalable, technology-based interventions that complement traditional therapies, making her a key figure in the growing field of socially assistive robotics.