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Measuring Similarities Between External and Self Emotion Evaluation in the Case of Assisted Speech Therapy of Children

机译:在儿童辅助言语治疗中测量外部和自我情绪评估之间的相似性

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摘要

The emotional state of children involved in speech therapy represents an important condition for a successful intervention and, in consequence, the lack of emotional assessment is one of the most important drawbacks of computer assisted speech therapy. In this paper we focus on the second step of development of an automatic emotion recognition framework, that is identifying the consistency of human emotion recognition. Our research hypotheses were tested using results from an experiment involving 41 children, 3 speech and language therapists (SLT) and 3 therapeutically sequences. We developed and used an instrument to obtain data about children emotions from SLT (external emotion evaluation) and from the involved children (self emotion evaluation). Data were processed by two different mathematical methods for checking the similarity. The results have shown that there is a good consistency between external and self emotional evaluations and these findings encourage us to continue our researches for adding an affective extension to our Computer Based Speech Therapy (CBST.
机译:参与言语治疗的儿童的情绪状态是成功进行干预的重要条件,因此,缺乏情绪评估是计算机辅助言语治疗的最重要缺点之一。在本文中,我们着重于开发自动情感识别框架的第二步,即确定人类情感识别的一致性。我们的研究假设使用来自41名儿童,3名言语和语言治疗师(SLT)和3种治疗顺序的实验结果进行了检验。我们开发并使用了一种工具来从SLT(外部情感评估)和所涉及的孩子(自我情感评估)获取有关儿童情感的数据。数据通过两种不同的数学方法进行处理以检查相似性。结果表明,在外部和自我情感评估之间有很好的一致性,这些发现鼓励我们继续进行研究,以对基于计算机的言语治疗(CBST)添加情感扩展。

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