A hybrid solution for monitoring conversational skills of children with special needs

L. Tian, M. Chuah, E. Cappellini
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引用次数: 2

Abstract

Children/Adolescents with Autism Spectrum Disorder (ASD) demonstrate communication skill deficits and often do not utilize appropriate turn-taking in conversations. Several intervention strategies have been designed to improve conversational skills, but assessing conversations and determining strategy effectiveness often prove to be complicated and time-consuming processes. In this paper, we present: (i) a lightweight smartphone-based conversational turn monitoring system which automatically measures turn-taking statistics of speakers involved in a conversation (thus significantly reducing the labor involved in determining intervention success); (ii) evaluations of the effectiveness of our proposed monitoring system using several collected conversational traces; (iii) a customizable Android application developed to teach students how to conduct conversations; and (iv) preliminary evaluations of the effectiveness of the Android application in improving the communication skills of adolescents with ASD/speech/language deficits using two unique communication skill rubrics designed by our speech therapist. Our preliminary evaluations show promising results of our proposed low-cost hybrid monitoring solution for tracking the conversational skills of students with communication skill deficits.
监测有特殊需要的儿童对话技巧的混合解决方案
患有自闭症谱系障碍(ASD)的儿童/青少年表现出沟通技巧的缺陷,在谈话中往往不能适当地轮流进行。已经设计了几种干预策略来提高会话技能,但评估会话和确定策略有效性往往被证明是复杂和耗时的过程。在本文中,我们提出:(i)一个轻量级的基于智能手机的会话回合监测系统,该系统自动测量参与对话的说话者的回合统计(从而显着减少确定干预成功所涉及的劳动);(ii)使用几个收集到的对话痕迹评估我们提议的监测系统的有效性;(iii)可定制的Android应用程序,用于教学生如何进行对话;(iv)使用我们的语言治疗师设计的两种独特的沟通技巧标准,初步评估Android应用程序在改善自闭症/言语/语言缺陷青少年沟通技巧方面的有效性。我们的初步评估显示,我们提出的低成本混合监测解决方案用于跟踪有沟通技能缺陷的学生的会话技能,结果很有希望。
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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