The Use of Social Robots in the Diagnosis of Autism in Preschool Children
The Use of Social Robots in the Diagnosis of Autism in Preschool Children
复制标题
社交机器人在学龄前儿童自闭症诊断中的应用
作者：
K. Arent;David J. Brown;Joanna Kruk;Tomasz Niemiec;A. Pasieczna;P. Standen;R. Szczepanowski
本研究有助于将社交机器人应用于自闭症诊断的研究问题。人们普遍认为，现有的自闭症谱系障碍的诊断方法是无效的。人-机器人交互（HRI）的进展提供了潜在的新的诊断方法的基础上，交互式机器人。我们通过观察学龄前儿童在两个游戏中与NAO机器人的互动来调查他们的轮换缺陷：（与我跳舞与触摸我）。我们比较了儿童与机器人的互动概况（五名自闭症儿童与五名典型发育中的儿童）。然后，为了调查话轮转换的缺陷，我们采用了一个评级程序，以表明两组儿童之间的差异的基础上观察规模。一项基于儿童与NAO机器人互动评分的统计分析表明，自闭症儿童的话轮转换行为水平不足。我们的研究提供了证据的潜力，设计和实施一个孩子和一个社交机器人之间的互动二元游戏，可用于检测基于客观措施的话轮转换赤字。我们还讨论了我们的研究结果在现有的研究背景下，并提出了一个机器人支持的自闭症诊断系统的指导方针。
The present study contributes to the research problem of applying social robots in autism diagnosis. There is a common belief that existing diagnostic methods for autistic spectrum disorder are not effective. Advances in Human–Robot Interactions (HRI) provide potential new diagnostic methods based on interactive robots. We investigated deficits in turn-taking in preschool children by observing their interactions with the NAO robot during two games: (Dance with me vs. Touch me). We compared children’s interaction profiles with the robot (five autistic vs. five typically developing young children). Then, to investigate turn-taking deficits, we adopted a rating procedure to indicate differences between both groups of children based on an observational scale. A statistical analysis based on ratings of the children’s interactions with the NAO robot indicated that autistic children presented a deficient level of turn-taking behaviors. Our study provides evidence for the potential of designing and implementing an interactive dyadic game between a child and a social robot that can be used to detect turn-taking deficits based on objective measures. We also discuss our results in the context of existing studies and propose guidelines for a robotic-enabled autism diagnosis system.
影响因子：
2.5
作者：
Diehl JJ;Schmitt LM;Villano M;Crowell CR
通讯作者：
Crowell CR