自闭症谱系障碍儿童与社交机器人互动时的脑信号评估

Christiane Goulart , Carlos Valadão , Eliete Caldeira , Teodiano Bastos
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引用次数: 10

摘要

这项工作包括一项试点研究,在与社交机器人互动期间,评估被诊断为自闭症谱系障碍(ASD)的儿童的脑电图(EEG)捕获的大脑信号。使用定量量表和摄像机记录的图像,提出并评估自闭症儿童与机器人的社交技能和互动。在与机器人互动的过程中,结果显示大脑中对社交技能很重要的区域的α和β节律高度激活。定量量表表明儿童与机器人的互动是积极的,并指出社交机器人是激发社交技能和促进与其他人互动的潜在工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain signal evaluation of children with Autism Spectrum Disorder in the interaction with a social robot

This work consists of a pilot study in which brain signals captured by electroencephalography (EEG) of children diagnosed with Autism Spectrum Disorder (ASD) are evaluated during the interaction with a social robot. Social skills and interaction of children with ASD with the robot are proposed and assessed, using quantitative scale and images recorded by video cameras. During interaction with the robot, results show high activation of alpha and beta rhythms in brain regions important to social skills. Quantitative scales indicate a positive children–robot interaction and point out the social robot as a potential tool to stimulate social skills and facilitate the interaction with other people.

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