Journal
CHILDREN-BASEL
Volume 8, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/children8020093
Keywords
autism spectrum disorder; screening; information technology; primary care
Categories
Funding
- ERASMUS+ Programme of the European Union under the project New Monitoring guidelines to develop innovative ECEC teachers curricula (NEMO) [2019-1-IT02-KA201-063340]
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This systematic review identifies recent digital technologies used in detecting early signs of autism spectrum disorder in preschool children. The study suggests that these technologies hold promise as supports in clinical practice, but further research is needed to understand their acceptability and increase usage rates in clinical settings.
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, Psyclnfo, 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.
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