Conversation Analysis: A Methodology for Diagnosing Autism

I. Abbas, K. Ahmed, M. A. Habib
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Abstract

The present study examines the conversational turn-taking patterns in autist-neurotypical talk. The objective of the study is to find out the distinctive features of autist-normal conversations. This study is cross-sectional, descriptive and qualitative in its nature. Recordings are done in anautism center in Lahore for a period of ten days. It is mainly a qualitative study in its nature. Five autistic children of different ages are selected from an autism center in Lahore. The data for the study is collected through video recording of the conversations between autists and speech therapists. The sample is selected through convenient sampling and analysis is done by following the methods of conversation analysis. The results of the analysis highlight certain distinct features of autist child-therapist talk which are not observed in the normal ordinary conversation. However, there is not a total violation of the conversation rules on the part of autists. Moreover, the findings of the research show that conversational patterns in autist-normal conversation are also affected by the chronological age of the autists. Finally, the research concludes that conversation analysis can be used as a tool for the identification of autism.
对话分析:一种诊断自闭症的方法
本研究考察了自闭症神经典型谈话中的会话转换模式。这项研究的目的是找出自闭症正常对话的独特特征。这项研究是横断面的,描述性的和定性的。录音是在拉合尔的一个自闭症中心进行的,为期十天。本质上主要是定性研究。五个不同年龄的自闭症儿童从拉合尔的自闭症中心被挑选出来。这项研究的数据是通过自闭症患者和语言治疗师之间对话的视频记录收集的。采用方便抽样的方法选取样本,采用会话分析的方法进行分析。分析的结果突出了自闭症儿童治疗师谈话的某些独特特征,这些特征在正常的普通谈话中是观察不到的。然而,自闭症患者并没有完全违反对话规则。此外,研究结果还表明,自闭症患者与正常人之间的对话模式也会受到自闭症患者实际年龄的影响。最后,研究得出结论,对话分析可以作为识别自闭症的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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