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A Hybrid System to Support the Psychological Intervention for Children With Autism: A Proposal Based on Knowledge Modeling and Intelligent Technologies
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Author(s): Vladimir Robles-Bykbaev (Universidad Politécnica Salesiana, Ecuador), Jorge Andrés Galán-Mena (Universidad Politécnica Salesiana, Ecuador), Martín López-Nores (University of Vigo, Spain), Yaroslava Robles-Bykbaev (Universidad Politécnica Salesiana, Ecuador), Javier Cornejo-Reyes (Universidad Politécnica Salesiana, Ecuador), Diego Quisi-Peralta (Universidad Politécnica Salesiana, Ecuador), José Juan Pazos-Arias (University of Vigo, Spain), Diego Lima-Juma (Universidad Politécnica Salesiana, Ecuador)and Verónica Cevallos León-Wong (Universidad Politécnica Salesiana, Ecuador)
Copyright: 2020
Pages: 29
Source title:
Robotic Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-1754-3.ch083
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Abstract
The World Health Organization (WHO) claims that 1 in 160 children present an Autism Spectrum Disorder (ASD). However, the real estimation in low- and middle-income countries can be higher and currently is so far unknown. In many Latin American countries, it is essential to develop intelligent tools that can provide support during the psychological diagnosis and intervention of children with ASD. To this aim, this article presents an approach that models the most relevant elements of rehabilitation/educational activities for children with ASD and discuss how to support them through robotic assistants, mobile applications and Multi-Sensory Stimulation Environments (MSEE). The authors tested the proposed system in four different real scenarios: the perception of 47 children without ASD concerning the robotic assistant, the feasibility of using ontology-based reasoning to select therapeutic activities, the opinion of 9 experts on ASD regarding the MSSE and the perception of 36 children with ASD about the robotic assistant.
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