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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Research on affective communication for socially assistive robots has been conducted to enable physical robots to perceive, express, and respond emotionally. However, the use of affective computing in social robots has been limited, especially when social robots are designed for children, and especially those with autism spectrum disorder (ASD). Social robots are based on cognitive-affective models, which allow them to communicate with people following social behaviors and rules. However, interactions between a child and a robot may change or be different compared to those with an adult or when the child has an emotional deficit. In this study, we systematically reviewed studies related to computational models of emotions for children with ASD. We used the Scopus, WoS, Springer, and IEEE-Xplore databases to answer different research questions related to the definition, interaction, and design of computational models supported by theoretical psychology approaches from 1997 to 2021. Our review found 46 articles; not all the studies considered children or those with ASD.

Details

Title
Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review
Author
Cano, Sandra 1   VIAFID ORCID Logo  ; González, Carina S 2   VIAFID ORCID Logo  ; Gil-Iranzo, Rosa María 3   VIAFID ORCID Logo  ; Albiol-Pérez, Sergio 4   VIAFID ORCID Logo 

 School of Computer Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile 
 Department of Computer Engineering and Systems, University of La Laguna, 38204 La Laguna, Spain; [email protected] 
 Department of Computer Engineering and Industrial, University of Lleida, 25001 Lleida, Spain; [email protected] 
 Aragón Health Research Institute (IIS Aragón), Universidad de Zaragoza, Cdad. Escolar, 4, 44003 Teruel, Spain; [email protected] 
First page
5166
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2558928706
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.