Autism Children’s App using PECS
Journal Title: Annals of Emerging Technologies in Computing - Year 2018, Vol 2, Issue 1
Abstract
Since autistic children suffers from learning disabilities and communication barriers, this research aim to design, develop and evaluate an Android based mobile application (app) providing better learning environment with inclusion of graphical representation in a cost effective manner. This research evaluate various supporting technologies and finds Picture Exchange Communication System (PECS) to be better choice for integrating with the app. Evaluation results reveal that the inclusion of PECS helped the children suffering from Autistic Spectrum Disorder (ASD) to better communicate with others. The study included autistic children who do not speak, who are unintelligible and who are minimally effective communicators with their present communication system. The evolution results showed encouraging impacts of the Autism App in supporting autistic children to adapt to normal life and improve the standard of their life.
Authors and Affiliations
Nareena Soomro, Safeeullah Soomro
Keywords
Related Articles
- EP ID EP350156
- DOI 10.33166/AETiC.2018.01.002
- Views 157
- Downloads 0
Applications of Blockchain Technology beyond Cryptocurrency
Blockchain (BC), the technology behind the Bitcoin crypto-currency system, is considered to be both alluring and critical for ensuring enhanced security and (in some implementations, non-traceable) privacy for diverse ap...
Models of Research and the Dissemination of Research Results: the Influences of E-Science, Open Access and Social Networking
In contrast with practice in recent times past, computational and data intensive processes are increasingly driving collaborative research in science and technology. Large amounts of data are being generated in experimen...
Towards a Quantum Field Theory for Optical Artificial Intelligence
Today, several socio-techno-economic drivers are steering the evolution of Telecommunications and Internet towards a growing exploitation of ultra-broadband infrastructures (e.g., 5G) and Artificial Intelligence (AI) sys...
Object Identification Based on the Automated Extraction of Spatial Semantics from Web3D Scenes
We present a web-based methodology for the extraction of semantic information and object identification in poorly annotated Web3D scenes. Our approach is based on a set of rules that mimic human spatial cognition, backed...
Optimising Differentiated Services Strategies under IMS
The evolving standards of mobile communications, the wide variety of services they offer and the rapid growth of the Internet have made a merger of the two network technologies inevitable. One of the most prominent platf...