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An emotion recognition comparative study of autistic and typically-developing children using the zeno robot

机译:使用zeno机器人对自闭症儿童和典型发育儿童的情绪识别比较研究

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In this paper we present the results of our recent study on comparing the emotion expression recognition abilities of children diagnosed with high functioning Autism (ASD) with those of typically developing (TD) children through use of a humanoid robot, Zeno. In our study we investigated the effect of incorporating gestures to the emotion expression prediction accuracy of both child groups. Although the idea that ASD individuals suffer from general emotion recognition deficits is widely assumed [1], we found no significant impairment in the general emotion prediction. However, a specific deficit in correctly identifying Fear was found for children with Autism when compared to the TD children. Furthermore, we found that gestures can significantly impact the prediction accuracy of both ASD and TD children in a negative or positive manner depending on the specific expression. Thus, the use of gestures for conveying emotional expressions by a humanoid robot in a social skill therapy setting is relevant. The methodology and experimental protocol are presented and additional discussion of the Zeno R-50 robot used is given.
机译:在本文中,我们介绍了我们最近的研究结果,该研究通过使用类人机器人Zeno比较了诊断为高功能自闭症(ASD)的儿童与通常发育中的(TD)儿童的情绪表达识别能力。在我们的研究中,我们调查了将手势并入两个儿童群体的情绪表达预测准确性的影响。尽管人们普遍认为ASD个体会遭受一般性情绪识别缺陷的想法[1],但我们并未发现一般性情绪预测中存在明显的损害。但是,与TD儿童相比,发现自闭症儿童在正确识别恐惧方面存在特定缺陷。此外,我们发现,手势可能会以负数或正数的方式显着影响ASD和TD儿童的预测准确性,具体取决于特定的表达方式。因此,在社交技能治疗环境中使用手势来通过人形机器人传达情感表达是有意义的。介绍了方法和实验规程,并对使用的Zeno R-50机器人进行了其他讨论。

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