Use of Nods Less Synchronized with Turn-Taking and Prosody During Conversations in Adults with Autism

K. Ochi, Nobutaka Ono, Keiho Owada, Kuroda Miho, S. Sagayama, H. Yamasue
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Abstract

Autism spectral disorder (ASD) is a highly prevalent neurodevelopmental disorder characterized by deficits in communication and social interaction. Head-nodding, a kind of visual backchannels, is used to co-construct the conversation and is crucial to smooth social interaction. In the present study, we quantitively analyze how head-nodding relates to speech turn-taking and prosodic change in Japanese conversation. The results showed that nodding was less frequently observed in ASD participants, especially around speakers’ turn transitions, whereas it was notable just before and after turn-taking in individuals with typical development (TD). Analysis using 16 sec of long-time sliding segments revealed that synchronization between nod frequency and mean vocal intensity was higher in the TD group than in the ASD group. Classification by a support vector machine (SVM) using these proposed features achieved high performance with an accuracy of 91.1% and an F-measure of 0.942. In addition, the results indicated an optimal way of nodding according to turn-ending and emphasis, which could provide standard responses for reference or feedback in social skill training for people with ASD. Furthermore, the natural timing of nodding implied by the results can also be applied to developing interactive responses in humanoid robots or computer graphic (CG) agents.
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成年自闭症患者在会话中使用与转身和韵律不太同步的点头
自闭症谱系障碍(ASD)是一种高度流行的神经发育障碍,其特征是缺乏沟通和社交。点头是一种视觉通道,用于共同构建对话,对顺利的社交互动至关重要。在本研究中,我们定量地分析了日语会话中点头与言语转折和韵律变化的关系。结果表明,在ASD参与者中,点头的频率较低,尤其是在说话者的转向转换前后,而在具有典型发展(TD)的个体中,点头在转向前后都很显著。使用16秒长时间滑动段的分析显示,TD组的点头频率和平均发声强度之间的同步性高于ASD组。使用这些提出的特征通过支持向量机(SVM)进行分类实现了高性能,准确率为91.1%,F测度为0.942。此外,研究结果表明,根据转弯结束和重点,点头是一种最佳的方式,可以为ASD患者的社交技能培训提供标准的参考或反馈。此外,研究结果所暗示的点头的自然时间也可以应用于开发人形机器人或计算机图形(CG)代理的互动反应。
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