{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T17:05:13Z","timestamp":1774026313846,"version":"3.50.1"},"reference-count":127,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T00:00:00Z","timestamp":1691020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Telecommunications Standards Institute (ETSI) SmartBAN","award":["872752"],"award-info":[{"award-number":["872752"]}]},{"name":"European Telecommunications Standards Institute (ETSI) SmartBAN","award":["101017331"],"award-info":[{"award-number":["101017331"]}]},{"name":"European Union\u2019s Horizon 2020 Research and Innovation Programme","award":["872752"],"award-info":[{"award-number":["872752"]}]},{"name":"European Union\u2019s Horizon 2020 Research and Innovation Programme","award":["101017331"],"award-info":[{"award-number":["101017331"]}]},{"name":"Fondazione Cassa di Risparmio di Firenze","award":["872752"],"award-info":[{"award-number":["872752"]}]},{"name":"Fondazione Cassa di Risparmio di Firenze","award":["101017331"],"award-info":[{"award-number":["101017331"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The applied behavior analysis (ABA) model emphasizes observable and measurable behaviors by carrying out decision making using experimental data (behavioral observation assessment strategies). In this framework, information and communication technology (ICT) becomes highly suitable for enhancing the efficiency and effectiveness of the methodology. This paper aims to delve into the potential of ICT in providing innovative solutions to support ABA applications. It focuses on how ICT can contribute to fostering social inclusion with respect to children with neurodevelopmental disorders. ICT offers advanced solutions for continuous and context-aware monitoring, as well as automatic real-time behavior assessments. Wireless sensor systems (wearable perceptual, biomedical, motion, location, and environmental sensors) facilitate real-time behavioral monitoring in various contexts, enabling the collection of behavior-related data that may not be readily evident in traditional observational studies. Moreover, the incorporation of artificial intelligence algorithms that are appropriately trained can further assist therapists throughout the different phases of ABA therapy. These algorithms can provide intervention guidelines and deliver an automatic behavioral analysis that is personalized to the child\u2019s unique profile. By leveraging the power of ICT, ABA practitioners can benefit from cutting-edge technological advancements to optimize their therapeutic interventions and outcomes for children with neurodevelopmental disorders, ultimately contributing to their social inclusion and overall wellbeing.<\/jats:p>","DOI":"10.3390\/s23156914","type":"journal-article","created":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T11:23:03Z","timestamp":1691061783000},"page":"6914","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["ICT Framework for Supporting Applied Behavior Analysis in the Social Inclusion of Children with Neurodevelopmental Disorders"],"prefix":"10.3390","volume":"23","author":[{"given":"Sara","family":"Jayousi","sequence":"first","affiliation":[{"name":"Department of Information Engineering, Polo Universitario \u201cCitt\u00e0 di Prato\u201d, 59100 Prato, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8509-5322","authenticated-orcid":false,"given":"Alessio","family":"Martinelli","sequence":"additional","affiliation":[{"name":"Telespazio (Leonardo & Thales Company), 00156 Rome, Italy"}]},{"given":"Paolo","family":"Lucattini","sequence":"additional","affiliation":[{"name":"Department of Movement, Human and Health Sciences, University of Rome \u201cForo Italico\u201d, 00135 Rome, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6389-0221","authenticated-orcid":false,"given":"Lorenzo","family":"Mucchi","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, University of Florence, 50139 Florence, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,3]]},"reference":[{"key":"ref_1","unstructured":"Lucattini, P., Jayousi, S., Martinelli, A., Mucchi, L., and Lombardi, G. 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