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About
Dr Pauline Chevalier obtained her PhD in Informatics at the University Paris-Saclay (France) in 2016 and her BSc (2012) and MSc (2013) in Electronic Engineering at the University Pierre et Marie Curie (France). She did her Ph.D. thesis at the Robotics and Computer Vision Lab (ENSTA-ParisTech, France) under the supervision of Adriana Tapus, Jean-Claude Martin and Brice Isableu. The subject was on the impact of visual and proprioceptive sensory preferences of individuals diagnosed with Autistic Spectrum Disorder (ASD) on their social skills during human-robot interactions. Then, she worked as a postdoctoral fellow at the University of Twente (The Netherlands) in the HMI lab, with Vanessa Evers and Dirk Heylen. There, she joined DE-ENIGMA, a H2020 European project which aims to design robot-assisted interventions to teach emotions to children diagnosed with ASD. Throughout her experience in the area of robot-assisted interventions for children diagnosed with ASD, she observed that sensory sensitivities were seldom-considered, whereas they showed to have an impact. Thanks to the MINDED programme, she will explore and investigate sensory sensitivity of children diagnosed with ASD, with the approach of robot-assisted intervention techniques. She aims to bring insights for better and more adapted human-robot interaction but also for diagnosis and therapy for children diagnosed with ASD.
Education

Title: M.Sc. in Intelligent System and Robotics
Institute: Université Pierre et Marie Curie
Location: Paris
Country: France
From: 2011 To: 2013

Title: B.A. in Electronic Engineering
Institute: Université Pierre et Marie Curie
Location: Paris
Country: France
From: 2008 To: 2012

All Publications
2021
Ghiglino D., Chevalier P., Floris F., Priolo T., Wykowska A.
Follow the white robot: Efficacy of robot-assistive training for children with autism spectrum disorder
Research in Autism Spectrum Disorders, vol. 86
Article Journal
2021
Chevalier P., Floris F., Priolo T., De Tommaso D., Wykowska A.
“iCub Says: Do My Motor Sounds Disturb You?” Motor Sounds and Imitation with a Robot for Children with Autism Spectrum Disorder.
The Thirteenth International Conference on Social Robotics, vol. 13086, (no. Lecture Notes in Computer Science)
Conference Paper Conference
2021
Chevalier P., Ghiglino D., Floris F., Priolo T., Wykowska A.
Motor Noises and Auditory Sensitivity
Workshop Sound in HRI, at HRI2021
Poster Conference
2021
Chevalier P., Vasco V., Willemse C., de Tommaso D., Tikhanoff V., Pattacini U., Wykowska A.
Upper limb exercise with physical and virtual robots: Visual sensitivity affects task performance
Paladyn, vol. 12, (no. 1), pp. 199-213
2021
Chevalier P., Ghiglino D., Floris F., Priolo T., Wykowska A.
Visual and hearing sensitivity affect robot-based training for children diagnosed with autism spectrum disorder
Frontiers Robotics AI