Evaluation of a robot-assisted therapy for children with autism and intellectual disability

CONTI, Daniela, TRUBIA, Grazia, BUONO, Serafino, DI NUOVO, Santo and DI NUOVO, Alessandro (2018). Evaluation of a robot-assisted therapy for children with autism and intellectual disability. In: GIULIANI, Manuel, ASSAF, Tareq and GIANNACCINI, Maria Elena, (eds.) Towards autonomous robotic systems : 19th Annual Conference, TAROS 2018, Bristol, UK July 25-27, 2018, Proceedings. Lecture notes in computer science, 10965 . Cham, Springer, 405-415.

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Link to published version:: https://doi.org/10.1007/978-3-319-96728-8_34
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    It is well established that robots can be suitable assistants in the care and treatment of children with Autism Spectrum Disorder (ASD). However, the majority of the research focuses on stand-alone interventions, high-functioning individuals and the success is evaluated via qualitative analysis of videos recorded during the interaction. In this paper, we present a preliminary evaluation of our on-going research on integrating robot-assisted therapy in the treatment of children with ASD and Intellectual Disability (ID), which is the most common case. The experiment described here integrates a robot-assisted imitation training in the standard treat‐ ment of six hospitalised children with various level of ID, who were engaged by a robot on imitative tasks and their progress assessed via a quantitative psycho- diagnostic tool. Results show success in the training and encourage the use of a robotic assistant in the care of children with ASD and ID with the exception of those with profound ID, who may need a different approach.

    Item Type: Book Section
    Additional Information: ISSN: 0302-9743
    Uncontrolled Keywords: Autism spectrum disorder · Intellectual disability Socially assistive robotics · TEACCH · VB-MAPP
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Sheaf Solutions
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1007/978-3-319-96728-8_34
    Page Range: 405-415
    Depositing User: Daniela Conti
    Date Deposited: 01 Aug 2018 11:56
    Last Modified: 18 Mar 2021 07:30
    URI: https://shura.shu.ac.uk/id/eprint/22141

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