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'Autistic Robots' for Embodied Emulation of Behaviors Typically Seen in Children with Different Autism Severities

机译:“自闭症机器人”,用于体现了通常在不同自闭症狭窄的儿童中看到的行为的仿真

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The goal of this work is to enable interactions of humans with a humanoid robot that can be customized to exhibit behaviors typically observed in children with Autism Spectrum Disorders (ASD) along different severities. In a first step, we design robot behaviors as responses to three different stimulus families, inspired by activities used in the context of ASD diagnosis, based on the Autism Diagnosis Observation Schedule (ADOS-2). We implement a total of 16 (possibly blendable) robot behaviors on a NAO humanoid robot according to different autism severities along 4 selected features from the ADOS-2. In a second step, we integrate those behaviors in a customizable autonomous agent with which humans can continuously interact through predefined stimuli. Robot customization is enabled through the specification of a feature vector modeling the behavioral responses of the robot, resulting in 256 unique customizations. Our autonomous architecture enables the robot to automatically detect and respond to parameters of the interaction such as verbal and non-verbal stimuli, as well as sound location. In a third step, we evaluate our designed isolated behaviors in the autonomous system by running a study with three experts. This work paves the way towards potentially novel ways of training ASD therapists, interactive solutions for educating people about different forms of ASD, and novel tasks for ASD therapy with adaptive robots.
机译:这项工作的目标是能够使人体与人形机器人的相互作用能够定制,以表现出沿着不同的严重主义的自闭症谱系障碍(ASD)中的儿童患者观察到的行为。在第一步中,我们将机器人行为设计为对三个不同刺激家庭的回应,这是根据自闭症诊断观察时间表(ADOS-2)的ASD诊断的活动的启发。我们在来自ADOS-2的4个选定特征的不同自闭症严重程度根据不同的自闭症严重程度,在NAO人形机器人中实现了总共16个(可能的可增多的)机器人行为。在第二步中,我们将这些行为集成在可定制的自治代理中,人类可以通过预定义的刺激连续交互。通过规范机器人的行为响应的特征向量的规范使能机器人自定义,从而产生了256个唯一的自定义。我们的自主体系结构使机器人能够自动检测和响应诸如口头和非口头刺激等交互的参数,以及声音位置。在第三步中,我们通过使用三位专家进行学习,评估我们在自主系统中的设计隔离行为。这项工作铺平了培训ASD治疗师的潜在新颖的方式,为教育不同形式的ASD的互动解决方案以及适应机器人的亚摩特治疗的新任务。

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