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Social robot in diagnosis of autism among preschool children

机译:社会机器人诊断学龄前儿童的自闭症

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Current research on autism raises an important methodological issue concerning reliable measurement tools to diagnose abnormal social interactions within autistic children. Here we presents proposal of a interdisciplinary approach combining psychology and robotics yielding Human-Robot interaction to recognize autism symptoms based on a pre-schoolers' play with the social robot (`Touch me' and `Dance with me'). The observational measures combined with competent raters technique indicated abnormal interaction patterns in children with autism during interactive games with NAO robot. Our research, by linking psychological and engineering perspectives provides promising preliminary results on application of robot to study autism based on HRI and results in collection of user's requirements and evaluation's criteria for a robot design.
机译:当前对自闭症的研究提出了一个重要的方法论问题,涉及诊断自闭症儿童中异常社交互动的可靠测量工具。在这里,我们提出了一种跨学科方法的建议,该方法结合了心理学和机器人技术,产生了人机交互,从而基于学龄前儿童与社交机器人的游戏(“ Touch me”和“ Dance with me”)来识别自闭症症状。观察方法与能胜任的评分者技术相结合,表明在使用NAO机器人进行互动游戏时,自闭症儿童的互动模式异常。我们的研究通过将心理学和工程学的观点联系起来,为基于HRI的机器人研究自闭症的应用提供了令人鼓舞的初步结果,并收集了用户的需求以及评估机器人设计的标准。

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