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首页> 外文会议>2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing. >Exploring Multimodal Social-Emotional Behaviors in Autism Spectrum Disorders: An Interface between Social Signal Processing and Psychopathology
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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的多模态社会情感行为：社会信号处理与心理病理学之间的接口

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摘要

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独创的，多学科的方法来研究自闭症谱系障碍儿童的多式联谊行为。我们的目标是对与人类互动有关的社会信号的接收和产生进行基础和应用研究。为了实现这一目标，我们尝试了解婴儿期的认知和多模式情感整合（例如听觉，视觉，姿势）并进行建模，并分析影响自闭症谱系障碍等社会互动动态的病理功能障碍。更具体地说，我们研究了多模态社会情感信号（语音，韵律，面部表情，姿势）的特征以及沟通的动态性（例如同步性，参与性）。涵盖的应用领域是鉴别诊断的改进，交互式机器人技术，协助自闭症谱系障碍患者及其护理人员以及心理病理学的客观化。

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