Cutting-edge communication and learning assistive technologies for disabled children: An artificial intelligence perspective

In this study we provide an in-depth review and analysis of the impact of artificial intelligence (AI) components and solutions that support the development of cutting-edge assistive technologies for children with special needs. Various disabilities are addressed and the most recent assistive techno...

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Vydáno v:Frontiers in artificial intelligence Ročník 5; s. 970430
Hlavní autoři: Zdravkova, Katerina, Krasniqi, Venera, Dalipi, Fisnik, Ferati, Mexhid
Médium: Journal Article
Jazyk:angličtina
Vydáno: Frontiers Media S.A 28.10.2022
Témata:
alternative communication
Artificial Intelligence
assistive technologies
augmentative communication
Computer and Information Sciences Computer Science
Data- och informationsvetenskap
disabled children
speech recognition
voice recognition
ISSN:2624-8212, 2624-8212
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Shrnutí:In this study we provide an in-depth review and analysis of the impact of artificial intelligence (AI) components and solutions that support the development of cutting-edge assistive technologies for children with special needs. Various disabilities are addressed and the most recent assistive technologies that enhance communication and education of disabled children, as well as the AI technologies that have enabled their development, are presented. The paper summarizes with an AI perspective on future assistive technologies and ethical concerns arising from the use of such cutting-edge communication and learning technologies for children with disabilities.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
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Reviewed by: Gustavo E. Constain M., Universidad Nacional Abierta y a Distancia, Colombia; Susana Bautista, Universidad Francisco de Vitoria, Spain
Edited by: Cesar Collazos, University of Cauca, Colombia
This article was submitted to AI for Human Learning and Behavior Change, a section of the journal Frontiers in Artificial Intelligence
ISSN:2624-8212
2624-8212
DOI:10.3389/frai.2022.970430