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Social robot in diagnosis of autism among preschool children

机译:学龄前儿童自闭症诊断的社会机器人

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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:目前关于自闭症的研究提出了一个关于可靠的测量工具的重要方法问题,以诊断自闭症儿童内的异常社会互动。在这里,我们提出了一个跨学科方法,结合心理学和机器人的互动,产生人机互动,以识别自闭症症状,以识别学龄前儿童与社会机器人(“触摸我”和“与我跳舞”)。与能力评估者合并的观察措施表明,在与NAO机器人的互动游戏中,患有自闭症的儿童的异常相互作用模式。我们的研究,通过将心理和工程观点联系,提供了对机器人在基于HRI研究自闭症的有前途的初步结果,并导致使用用户的要求和评估机器人设计的标准。

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