Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review
The aim of this systematic review is to identify recent digital technologies used to detect early signs of autism spectrum disorder (ASD) in preschool children (i.e., up to six years of age). A systematic literature search was performed for English language articles and conference papers indexed in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Children |
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| Online Access: | https://www.mdpi.com/2227-9067/8/2/93 |
| _version_ | 1797417061289295872 |
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| author | Lorenzo Desideri Patricia Pérez-Fuster Gerardo Herrera |
| author_facet | Lorenzo Desideri Patricia Pérez-Fuster Gerardo Herrera |
| author_sort | Lorenzo Desideri |
| collection | DOAJ |
| description | The aim of this systematic review is to identify recent digital technologies used to detect early signs of autism spectrum disorder (ASD) in preschool children (i.e., up to six years of age). A systematic literature search was performed for English language articles and conference papers indexed in Pubmed, PsycInfo, ERIC, CINAHL, WoS, IEEE, and ACM digital libraries up until January 2020. A follow-up search was conducted to cover the literature published until December 2020 for the usefulness and interest in this area of research during the Covid-19 emergency. In total, 2427 articles were initially retrieved from databases search. Additional 481 articles were retrieved from follow-up search. Finally, 28 articles met the inclusion criteria and were included in the review. The studies included involved four main interface modalities: Natural User Interface (e.g., eye trackers), PC or mobile, Wearable, and Robotics. Most of the papers included (n = 20) involved the use of Level 1 screening tools. Notwithstanding the variability of the solutions identified, psychometric information points to considering available technologies as promising supports in clinical practice to detect early sign of ASD in young children. Further research is needed to understand the acceptability and increase use rates of technology-based screenings in clinical settings. |
| first_indexed | 2024-03-09T06:14:28Z |
| format | Article |
| id | doaj.art-31a6abbe20cf49eca392a1fd5a18ae51 |
| institution | Directory Open Access Journal |
| issn | 2227-9067 |
| language | English |
| last_indexed | 2024-03-09T06:14:28Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Children |
| spelling | doaj.art-31a6abbe20cf49eca392a1fd5a18ae512023-12-03T11:55:04ZengMDPI AGChildren2227-90672021-02-01829310.3390/children8020093Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic ReviewLorenzo Desideri0Patricia Pérez-Fuster1Gerardo Herrera2AIAS Bologna Onlus, 40134 Bologna, ItalyAutism and Technologies Laboratory, University Research Institute on Robotics and Information and Communication Technologies (IRTIC), Universitat de València, 46010 València, SpainAutism and Technologies Laboratory, University Research Institute on Robotics and Information and Communication Technologies (IRTIC), Universitat de València, 46010 València, SpainThe aim of this systematic review is to identify recent digital technologies used to detect early signs of autism spectrum disorder (ASD) in preschool children (i.e., up to six years of age). A systematic literature search was performed for English language articles and conference papers indexed in Pubmed, PsycInfo, ERIC, CINAHL, WoS, IEEE, and ACM digital libraries up until January 2020. A follow-up search was conducted to cover the literature published until December 2020 for the usefulness and interest in this area of research during the Covid-19 emergency. In total, 2427 articles were initially retrieved from databases search. Additional 481 articles were retrieved from follow-up search. Finally, 28 articles met the inclusion criteria and were included in the review. The studies included involved four main interface modalities: Natural User Interface (e.g., eye trackers), PC or mobile, Wearable, and Robotics. Most of the papers included (n = 20) involved the use of Level 1 screening tools. Notwithstanding the variability of the solutions identified, psychometric information points to considering available technologies as promising supports in clinical practice to detect early sign of ASD in young children. Further research is needed to understand the acceptability and increase use rates of technology-based screenings in clinical settings.https://www.mdpi.com/2227-9067/8/2/93autism spectrum disorderscreeninginformation technologyprimary care |
| spellingShingle | Lorenzo Desideri Patricia Pérez-Fuster Gerardo Herrera Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review Children autism spectrum disorder screening information technology primary care |
| title | Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review |
| title_full | Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review |
| title_fullStr | Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review |
| title_full_unstemmed | Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review |
| title_short | Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review |
| title_sort | information and communication technologies to support early screening of autism spectrum disorder a systematic review |
| topic | autism spectrum disorder screening information technology primary care |
| url | https://www.mdpi.com/2227-9067/8/2/93 |
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