Abstract
Developmental impairment known as autism spectrum disorder (ASD) is brought on by variations in the brain. ASD sufferers have a recognized condition, like a genetic disorder. Other factors are still unknown. ASD begins before the age of 3 years and can last throughout a person’s life, although symptoms may improve over time. ASD symptoms can appear in some kids within the first year of life. Others might not experience symptoms until they are 24 months old or older. Some ASD children develop new skills and reach developmental milestones up until the age of 18 to 24 months, at which point they cease doing so or lose the abilities they previously possessed.
As a result, several applications have been developed to improve symptoms from an early age. Because people with autism spectrum disorder usually lack knowledge and experience with many areas of modern technology, the accessibility of mobile applications designed for them is critical. As there is a need for an e-learning platform for ASD-affected children to make it more accessible and convenient for them to access educational material and learn at their own pace. Furthermore, because it is designed for ASD children, it will be more engaging and will provide a cost-effective alternative to traditional educational services for children with ASD. This study details the design and implementation of the “Autismic” mobile application’s user interface (UI), as well as the standards for building an accessible user interface for people with autism spectrum disorders (ASD). The guidelines are based on current research on how to improve reading comprehension for both people with ASD and the user. Technology-based games are commonly utilized to teach students conceptual knowledge and skills. All the most important findings from this survey were considered to make this application as useful to the target users as feasible. Its primary purpose is to help children study better.
The paper primarily goes through the two version of the mobile application that was developed while considering all the procedures followed by the UI design, followed by the technologies that were used, usability testing, and interviews that were conducted to assess the efficacy and success rate among the target population. Furthermore, the paper discusses the second version of the program, which was produced following usability testing of the previous version, with changes in UI designs as with the feedback there were some improvements that were to be made as the user were having trouble with different ways to login, moreover the application was only in dark mode and there were trouble in navigating to next sections with this feedback there was a need of new functionality for implementation.
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References
Myles, B.S., Southwick, J.: Asperger Syndrome and Difficult Moments: Practical Solutions for Tantrums, Rage, and Meltdowns. AAPC Publishing (2005)
https://www.threadlearning.com/blog/autism-and-technology-how-digital-devices-help
.Vyshedskiy, A., Dunn, R.: Mental imagery therapy for autism (MITA)-an early intervention computerized brain training program for children with ASD. Autism Open Access 5, 2 (2015)
Dunn, R., et al.: Comparison of performance on verbal and nonverbal multiple-cue responding tasks in children with ASD. Autism Open Access 7, 218 (2017)
Dunn, R., et al.: Children with autism appear to benefit from parent-administered computerized cognitive and language exercises independent of the child’s age or autism severity. Autism Open Access 7, 1–12 (2017)
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Choudhary, S., Kaur, S., Sharma, A., Chandna, S. (2023). An e-Learning Application for Children Suffering from Autism. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2023. Lecture Notes in Computer Science, vol 14040. Springer, Cham. https://doi.org/10.1007/978-3-031-34411-4_3
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DOI: https://doi.org/10.1007/978-3-031-34411-4_3
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