Cano Sandra, González Carina S, Gil-Iranzo Rosa María, Albiol-Pérez Sergio
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.
Sensors (Basel). 2021 Jul 30;21(15):5166. doi: 10.3390/s21155166.
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.
针对社交辅助机器人的情感交流进行了研究，以使实体机器人能够感知、表达情感并做出情感反应。然而，情感计算在社交机器人中的应用一直有限，尤其是当社交机器人是为儿童设计时，特别是那些患有自闭症谱系障碍（ASD）的儿童。社交机器人基于认知情感模型，这使它们能够按照社会行为和规则与人交流。然而，与成年人互动或儿童存在情感缺陷时相比，儿童与机器人之间的互动可能会发生变化或有所不同。在本研究中，我们系统地回顾了与自闭症谱系障碍儿童情感计算模型相关的研究。我们使用Scopus、WoS、Springer和IEEE-Xplore数据库来回答与1997年至2021年理论心理学方法支持的计算模型的定义、交互和设计相关的不同研究问题。我们的综述发现了46篇文章；并非所有研究都考虑了儿童或患有自闭症谱系障碍的儿童。
