Sheyda Shabani, Pegah Soleiman, Hadi Moradi, Leila Kashani-Vahid
{"title":"Screening Autism by Evaluating Turn Taking Skills using an Agent-Based Video Game","authors":"Sheyda Shabani, Pegah Soleiman, Hadi Moradi, Leila Kashani-Vahid","doi":"10.1109/isgs51981.2020.9375283","DOIUrl":null,"url":null,"abstract":"Screening of neuro-developmental disorders, such as autism spectrum disorder, can greatly help in early diagnosis and therapy of these disorders. In this study, an agent-based serious game for screening children with autism is presented. The game is based on three important parameters of a turn-taking model, i.e. overlap, free, and grabbing turn. The game is developed using an agent-based architecture and tested on individuals with autism and normally developing children and the game data is collected on a server. The results showed there is significant difference between how these two groups play the game. Thus, it can be used for screening children with autism.","PeriodicalId":269583,"journal":{"name":"2020 International Serious Games Symposium (ISGS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Serious Games Symposium (ISGS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/isgs51981.2020.9375283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Screening of neuro-developmental disorders, such as autism spectrum disorder, can greatly help in early diagnosis and therapy of these disorders. In this study, an agent-based serious game for screening children with autism is presented. The game is based on three important parameters of a turn-taking model, i.e. overlap, free, and grabbing turn. The game is developed using an agent-based architecture and tested on individuals with autism and normally developing children and the game data is collected on a server. The results showed there is significant difference between how these two groups play the game. Thus, it can be used for screening children with autism.