iTrack Application for Autism: Supporting and Improving Safety Skills of People with Autism Spectrum Disorder
Authors: 
Adeed Ishaq, Muhammad Shoaib, Hassan Raza, Muhammad Zaman, Mahroos Shahid, Abdul KhaliqAuthors Info & Claims
Pages 70 - 73
Abstract
In this paper, a smartphone application "iTrack" is introduced for young people with autism that provides learning support and emergency support about safety skills related to fire and rain. Also, the application provides additional support to caregivers to promote collaboration between them. Our proposed application evaluated on two autistic individuals. Fire and rain safety skills were taught to children using video modelling via a smartphone. Single Subject Design (SSD), precisely, A-B design was used in this study along with maintenance phase to evaluate the effectiveness of the proposed system. Results show that iTrack, provide assistance and improve learning related to fire and rain safety skills. Furthermore, autistic individuals feel satisfied and not annoyed by the use of the iTrack application.
References
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Index Terms
- iTrack Application for Autism: Supporting and Improving Safety Skills of People with Autism Spectrum Disorder
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Published In
October 2018
1881 pages
ISBN:9781450359665
DOI:10.1145/3267305
Copyright © 2018 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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- SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
- University of Florida: University of Florida
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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Association for Computing Machinery
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Published: 08 October 2018
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UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing
October 8 - 12, 2018
Singapore, Singapore
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Overall Acceptance Rate 764 of 2,912 submissions, 26%
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