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Computer-based intervention for inferring facial expressions from the socio-emotional context in two children with autism spectrum disorders

机译:基于计算机的干预,从两个情感障碍儿童的社会情感环境中推断出面部表情

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Difficulties in understanding others' emotions have been widely reported in autism spectrum disorders (ASDs). Many methodologies for evaluating the emotion recognition can be analyzed by matching-to-sample (MTS) procedures. When using movies of socio-emotional situations as sample stimuli, children with ASD have been found to have difficulties in understanding them. Furthermore, there are few intervention studies that have targeted understanding of socio-emotional situations in children with ASD. The present study examined whether two young children with ASD can acquire the relationships between movies of socio-emotional situations and pictures of facial expressions through computer-based MTS training. The movies of situations and pictures of facial expressions represented happy, surprised, angry and sad emotions. The child with ASD was required to select the picture of facial expression when presented with the movie of socio-emotional situations as a sample stimulus, and if so, whether these skills can be generalized to untrained stimuli. We used a multiple baseline design across participants, and the results demonstrated that both children learned the relationships and improved their performance with untrained stimuli. These findings are discussed in terms of procedures to increase the understanding of others' emotions at an early developmental stage.
机译:自闭症谱系障碍(ASD)中广泛报道了理解他人情绪的困难。可以通过样本匹配(MTS)程序来分析用于评估情绪识别的许多方法。当使用社会情感情节的电影作为样本刺激时,发现患有自闭症的儿童难以理解它们。此外,很少有干预研究有针对性地了解ASD儿童的社会情感状况。本研究调查了两个患有ASD的幼儿是否可以通过基于计算机的MTS训练来获取社交情境电影和面部表情图片之间的关系。情景电影和面部表情图片代表快乐,惊讶,愤怒和悲伤的情绪。患有自闭症的孩子被要求选择带有社会情感情节的电影时作为表情刺激的面部表情的图片,如果是这样,是否可以将这些技能推广到未经训练的刺激中。我们对参与者使用了多个基线设计,结果表明两个孩子都学会了这种关系,并在未经训练的刺激下改善了他们的表现。这些发现将按照程序进行讨论,以在发展的早期阶段增加对他人情绪的理解。

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