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Exploring Multimodal Social-Emotional Behaviors in Autism Spectrum Disorders: An Interface between Social Signal Processing and Psychopathology

机译:探索自闭症谱系障碍中的多模式社会情感行为:社会信号处理与精神病理学之间的界面

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The purpose of this paper is to present our original and multidisciplinary approach to study multimodal social-emotional behaviors in children with autism spectrum disorders. Our goal is to conduct fundamental and applied research regarding the reception and production of social signals involved in human interactions. To achieve this aim, we try to understand and model cognitive and multimodal emotional integration (e.g., auditory, visual, postural) during infancy and to analyze dysfunctions in pathologies that affect the dynamics of social interactions such as autism spectrum disorders. More specifically, we study the characterization of multimodal social-emotional signals (speech, prosody, faces, postures) and the dynamics of communication (e.g., synchrony, engagement). The fields of application covered are the improvement of differential diagnosis, interactive robotics, assisting people with autism spectrum disorders and their caregivers, and objectification in psychopathology.
机译:本文的目的是介绍我们的原始和多学科方法,以研究自闭症谱系障碍儿童的多式社会情绪情绪行为。 我们的目标是对参与人类互动的社会信号的接收和生产进行基本和应用的研究。 为实现这一目标,我们试图在婴儿期间理解和模拟认知和多式联动情绪整合(例如,听觉,视觉,姿势),并分析影响自闭症谱系障碍等社会互动动态的病理学中的功能障碍。 更具体地说,我们研究了多式式社会情绪信号(语音,韵律,面部,姿势)的表征以及通信的动态(例如,同步,参与)。 所涵盖的申请领域是差异诊断,互动机器人,协助自闭症谱系障碍及其护理人员的人们改善,以及精神病理学的客观。

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