Diehl Joshua J, Schmitt Lauren M, Villano Michael, Crowell Charles R
Department of Psychology, 118 Haggar Hall, University of Notre Dame, IN, USA.
Res Autism Spectr Disord. 2012 Jan;6(1):249-262. doi: 10.1016/j.rasd.2011.05.006.
We examined peer-reviewed studies in order to understand the current status of empirically-based evidence on the clinical applications of robots in the diagnosis and treatment of Autism Spectrum Disorders (ASD). Studies are organized into four broad categories: (a) the response of individuals with ASD to robots or robot-like behavior in comparison to human behavior, (b) the use of robots to elicit behaviors, (c) the use of robots to model, teach, and/or practice a skill, and (d) the use of robots to provide feedback on performance. A critical review of the literature revealed that most of the findings are exploratory and have methodological limitations that make it difficult to draw firm conclusions about the clinical utility of robots. Finally, we outline the research needed to determine the incremental validity of this technique.
我们对同行评审的研究进行了审查，以了解机器人在自闭症谱系障碍（ASD）诊断和治疗中的临床应用的实证证据现状。研究分为四大类：（a）与人类行为相比，ASD个体对机器人或类机器人行为的反应；（b）使用机器人引发行为；（c）使用机器人对技能进行建模、教学和/或练习；（d）使用机器人提供绩效反馈。对文献的批判性审查表明，大多数研究结果都是探索性的，并且存在方法上的局限性，这使得难以就机器人的临床效用得出确凿结论。最后，我们概述了确定该技术增量效度所需的研究。
