Department of Psychology, Virginia Tech, Blacksburg, VA, 24061, USA.
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
J Autism Dev Disord. 2019 Feb;49(2):460-467. doi: 10.1007/s10803-018-3712-9.
The impact of facial emotion recognition (FER) deficits on facial emotion expression (FEE) during interaction with a novel computerized system was investigated in children with ASD (n = 20), in comparison to typically developing (TD) peers (n = 20). Although there was not clear evidence of impaired FEE, children with ASD showed more atypical FEE. In children with ASD, better FER predicted better FEE when the participants were asked to express a labeled emotion (t(18) = - 2.75, p = .01, d = 1.24). The stronger relationship between FER and FEE in children with ASD, relative to controls, suggests that intervention targeting social communication deficits might have maximal effect when both processes are considered.
研究了自闭症谱系障碍(ASD)儿童(n=20)与典型发育(TD)同龄人(n=20)在与新型计算机系统互动时,面部情绪识别(FER)缺陷对面部情绪表达(FEE)的影响。尽管没有明显证据表明 FEE 受损,但 ASD 儿童表现出更不典型的 FEE。在 ASD 儿童中,当参与者被要求表达一种标记情绪时,更好的 FER 预测了更好的 FEE(t(18)=-2.75,p=.01,d=1.24)。与对照组相比,ASD 儿童的 FER 和 FEE 之间的关系更强,这表明当同时考虑这两个过程时,针对社交沟通缺陷的干预可能会产生最大效果。