Adapting Robot-Assisted Therapy of Children with Autism and Different Levels of Intellectual Disability: A Preliminary Study

Daniela Conti, Alessandro Di Nuovo, Grazia Trubia, Serafino Buono, Santo Di Nuovo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Autism Spectrum Disorder (ASD) is a complex developmental disorder that requires personalising the treatment to the personal condition, in particular for individuals with Intellectual Disability (ID), which are the majority of those with ASD. In this paper, we present a preliminary analysis of our on-going research on personalised care for children with ASD and ID. The investigation focuses on integrating a social robot within the standard treatment in which tasks and level of interaction are adapted to the ID level of the individual and follow his progress after the rehabilitation.

Original languageEnglish
Title of host publicationHRI 2018 - Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages91-92
Number of pages2
VolumePart F135192
ISBN (Electronic)9781450356152
DOIs
Publication statusPublished - Mar 1 2018
Event13th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2018 - Chicago, United States
Duration: Mar 5 2018Mar 8 2018

Conference

Conference13th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2018
CountryUnited States
CityChicago
Period3/5/183/8/18

Keywords

  • autism spectrum disorder
  • intellectual disability
  • personalised care
  • socially assistive robotics
  • teacch
  • vb-mapp.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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  • Cite this

    Conti, D., Di Nuovo, A., Trubia, G., Buono, S., & Di Nuovo, S. (2018). Adapting Robot-Assisted Therapy of Children with Autism and Different Levels of Intellectual Disability: A Preliminary Study. In HRI 2018 - Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (Vol. Part F135192, pp. 91-92). IEEE Computer Society. https://doi.org/10.1145/3173386.3176962