{"title":"A hybrid solution for monitoring conversational skills of children with special needs","authors":"L. Tian, M. Chuah, E. Cappellini","doi":"10.1145/2811780.2811922","DOIUrl":null,"url":null,"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.","PeriodicalId":102963,"journal":{"name":"Proceedings of the conference on Wireless Health","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the conference on Wireless Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2811780.2811922","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.