A low-cost autonomous attention assessment system for robot intervention with autistic children

Fady S. Alnajjar, Abdulrahman Majed Renawi, Massimiliano Cappuccio, Omar Mubain

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

9 Citations (Scopus)

Abstract

Attention is an essential mental process that is important to achieve learning progress. We cannot get better in our academic learning unless we concentrate our attention on the person giving the educational material, such as the teacher or trainer. Children with Autism Spectrum Disorder (ASD) may have attention difficulties that can directly influence their academic skills. In recent years, robot intervention in autism therapy and assessment is becoming a popular research topic due to its role in enhancing children's attention more than a regular human therapist, as well as, the increasing number of autism children compared to the availability of professional therapists. Robot intervention helps in reducing therapy time and makes early therapeutics sessions easier and much promising. Many researches have been conducted to develop robot intervention techniques for ASD children, and some methods have already been used to assess autistic individuals' attention during the robot intervention sessions. Yet, the existing attention assessment methods are either very complex or simple with one measured interaction cue only. This paper presents a practical and low-cost automatic approach to assess autistic individuals' attention during robot intervention; addressing multiple interaction cues. Experimental results show that the proposed attention assessment system could accurately measure the child attention and enhance therapy progress. This automatic attention system can open a new era for utilizing technologies to monitor students' attentions in the class to enhance educational systems.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE Global Engineering Education Conference, EDUCON 2019
EditorsSebastian Schreiter, Alaa K. Ashmawy
PublisherIEEE Computer Society
Pages787-792
Number of pages6
ISBN (Electronic)9781538695067
DOIs
Publication statusPublished - Apr 2019
Event10th IEEE Global Engineering Education Conference, EDUCON 2019 - Dubai, United Arab Emirates
Duration: Apr 9 2019Apr 11 2019

Publication series

NameIEEE Global Engineering Education Conference, EDUCON
VolumeApril-2019
ISSN (Print)2165-9559
ISSN (Electronic)2165-9567

Conference

Conference10th IEEE Global Engineering Education Conference, EDUCON 2019
Country/TerritoryUnited Arab Emirates
CityDubai
Period4/9/194/11/19

Keywords

  • Assessment system
  • Autism diagnosis
  • Autism therapy
  • Nao robot
  • Robot intervention

ASJC Scopus subject areas

  • Engineering(all)
  • Information Systems and Management
  • Education

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