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了解社区中自闭症幼儿沟通机会的自动化措施:一项试点研究。

Automated Measures to Understand Communication Opportunities for Young Children With Autism in the Community: A Pilot Study.

作者信息

Little Lauren M, Rojas Joanne P, Bard Anna, Luo Ying, Irvin Dwight, Rous Beth

机构信息

1 Rush University, Chicago, IL, USA.

2 University of Kentucky, Lexington, USA.

出版信息

OTJR (Thorofare N J). 2019 Apr;39(2):124-130. doi: 10.1177/1539449219834911. Epub 2019 Mar 7.

Abstract

Community participation is vital to children's development and provides opportunities to practice social communication skills. Although previous studies suggest that young children with autism spectrum disorders (ASD) experience decreased community participation, there is little empirical evidence on the precise patterns of participation that may influence social communication opportunities. Therefore, this pilot study investigated the communication among families of children with ASD ( n = 5) versus typical development (TD; n = 5) across various community locations. We used automated, objective measures: the Language ENvironmental Analysis (LENA) system™ to measure the amount of communication and integrated this with a Global Positioning System (GPS; that is, Qstarz™) to measure community location. Results showed that families of children with ASD and TD spent a similar amount of time in community locations; however, there were differences in the amount of adult talk directed toward children with ASD versus TD across community locations. Findings suggest that automated measures may be successfully integrated to quantify social communication during community participation.

摘要

社区参与对儿童发展至关重要,并提供了练习社交沟通技巧的机会。尽管先前的研究表明,患有自闭症谱系障碍(ASD)的幼儿社区参与度有所下降,但关于可能影响社交沟通机会的具体参与模式,几乎没有实证证据。因此,这项试点研究调查了患有ASD的儿童家庭(n = 5)与发育正常(TD;n = 5)的儿童家庭在不同社区场所的沟通情况。我们采用了自动化的客观测量方法:使用语言环境分析(LENA)系统™来测量沟通量,并将其与全球定位系统(GPS,即Qstarz™)相结合来测量社区场所。结果显示,患有ASD的儿童家庭和发育正常的儿童家庭在社区场所花费的时间相似;然而,在不同社区场所,针对患有ASD的儿童与发育正常的儿童的成人谈话量存在差异。研究结果表明,自动化测量方法可以成功整合,以量化社区参与过程中的社交沟通情况。

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