sensors Systematic Review Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review Sandra Cano 1,* , Carina S. González 2 , Rosa María Gil-Iranzo 3 and Sergio Albiol-Pérez 4 1 School of Computer Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile 2 Department of Computer Engineering and Systems, University of La Laguna, 38204 La Laguna, Spain;
[email protected] 3 Department of Computer Engineering and Industrial, University of Lleida, 25001 Lleida, Spain;
[email protected] 4 Aragón Health Research Institute (IIS Aragón), Universidad de Zaragoza, Cdad. Escolar, 4, 44003 Teruel, Spain;
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[email protected] 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 Citation: Cano, S.; González, C.S.; those with an adult or when the child has an emotional deficit. In this study, we systematically Gil-Iranzo, R.M.; Albiol-Pérez, S. reviewed studies related to computational models of emotions for children with ASD. We used the Affective Communication for Socially Assistive Robots (SARs) for Children Scopus, WoS, Springer, and IEEE-Xplore databases to answer different research questions related to with Autism Spectrum Disorder: A the definition, interaction, and design of computational models supported by theoretical psychology Systematic Review.