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Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism

机译:探索性研究研究可穿戴工具在自闭症儿童中进行社交情感学习的家庭可行性

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摘要

Although standard behavioral interventions for autism spectrum disorder (ASD) are effective therapies for social deficits, they face criticism for being time-intensive and overdependent on specialists. Earlier starting age of therapy is a strong predictor of later success, but waitlists for therapies can be 18 months long. To address these complications, we developed Superpower Glass, a machine-learning-assisted software system that runs on Google Glass and an Android smartphone, designed for use during social interactions. This pilot exploratory study examines our prototype tool’s potential for social-affective learning for children with autism. We sent our tool home with 14 families and assessed changes from intake to conclusion through the Social Responsiveness Scale (SRS-2), a facial affect recognition task (EGG), and qualitative parent reports. A repeated-measures one-way ANOVA demonstrated a decrease in SRS-2 total scores by an average 7.14 points (F(1,13) = 33.20, p = <.001, higher scores indicate higher ASD severity). EGG scores also increased by an average 9.55 correct responses (F(1,10) = 11.89, p = <.01). Parents reported increased eye contact and greater social acuity. This feasibility study supports using mobile technologies for potential therapeutic purposes.
机译:尽管针对自闭症谱系障碍(ASD)的标准行为干预措施是针对社会缺陷的有效疗法,但它们因其时间密集且过于依赖专家而面临批评。较早的治疗开始年龄是以后能否成功的有力预测指标,但治疗候补名单可能长达18个月。为了解决这些复杂问题,我们开发了Superpower Glass,这是一种在机器和社交上运行的,可在Google Glass和Android智能手机上运行的机器学习辅助软件系统。这项探索性试验研究考察了我们的原型工具对自闭症儿童进行社交情感学习的潜力。我们将工具带回家的14个家庭,并通过社交反应量表(SRS-2),面部表情识别任务(EGG)和定性的父母报告评估了从摄入量到结论的变化。一项重复测量的单向方差分析表明,SRS-2总评分平均下降了7.14分(F(1,13)= 33.20,p = <.001,分数越高,表明ASD严重程度越高。 EGG分数也平均提高了9.55正确答案(F(1,10)= 11.89,p = <.01)。父母报告说眼神交流增加,社交敏锐度更高。该可行性研究支持将移动技术用于潜在的治疗目的。

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