Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review.

Journal: Sensors (Basel, Switzerland)
Published Date:

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.

Authors

  • Sandra Cano
    School of Computer Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.
  • Carina S González
    Department of Computer Engineering and Systems, University of La Laguna, 38204 La Laguna, Spain.
  • Rosa María Gil-Iranzo
    Departamento de Informática e Ingeniería Industrial, Escuela Politécnica Superior, Universitat de Lleida, 25001 LLeida, Spain.
  • Sergio Albiol-Pérez
    Aragón Health Research Institute (IIS Aragón), Universidad de Zaragoza, Cdad. Escolar, 4, 44003 Teruel, Spain.