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A Study on User Interface Design in Learning Arabic Alphabets for Dyslexic Children

Published:03 October 2023Publication History

ABSTRACT

User interface (UI) is the screen or layout to make it easier for users to interact and operate the system. But this is not the case with users who have dyslexia. Dyslexia is a person with learning limitations such as reading, writing, spelling, and speaking. This group of people find it difficult to recognize the letter. Dyslexia often occurs in children. UI should be intractive for everyone of all ages. In order to make dyslexic children interact with UI, this paper investigates the UI design in learning the alphabet especially Arabic to dyslexic children. This is performed by analyzing the limitations of existing guidelines and related application and conducting user study with dyslexic children and their parents. The findings facilitated in highlighting a design guide for dyslexic children by understanding their behavior as they learn Arabic alphabets, which are not so much different from the available design guides for any other dyslexic children. Through a developed prototype, the emphasis of the design should be given to the usage of different colors especially in differentiating those with similar shapes and patterns, allow repetition where the children can better recognize, include audio pronunciations especially in a context of a non-native Arabic speakers. Overall, the children enjoyed interacting with the prototype as it visually attracted them to operate.

References

  1. The British Dyslexia Association. Retrieved from https://www.bdadyslexia.org.uk/Google ScholarGoogle Scholar
  2. Heida M. Sigurdardottir, Hila B. Danielsdottir, Margret Gudmundsdottir, Kristjan H. Hjartarson, Elin A. Thorarinsdottir, and Arni Kristjánsson. 2017. Problems with visual statistical learning in developmental dyslexia. Scientific Reports, 7(606). https://doi.org/10.1038/s41598-017-00554-5Google ScholarGoogle ScholarCross RefCross Ref
  3. Salwani M. Daud, and Hafiza Abas. 2013. ‘Dyslexia Baca' Mobile App – The Learning Ecosystem for Dyslexic Children. In Proceedings of the 2013 International Conference on Advanced Computer Science Applications and Technologies. IEEE, 412-416. https://doi.org/10.1109/acsat.2013.87Google ScholarGoogle ScholarCross RefCross Ref
  4. Maha Alamri and William J. Teahan. 2017. A New Error Annotation for Dyslexic texts in Arabic. In Proceedings of the Third Arabic Natural Language Processing Workshop, Association for Computational Linguistics, Valencia, Spain. 72–78. https://doi.org/10.18653/v1/W17-1309Google ScholarGoogle ScholarCross RefCross Ref
  5. Bavana Srivastava and Md. T.I. Haider. 2017. Personalized assessment model for alphabets learning with learning objects in e-learning environment for dyslexia. Journal of King Saud University – Computer and Information Sciences, 32(7). https://doi.org/10.1016/j.jksuci.2017.11.005Google ScholarGoogle ScholarCross RefCross Ref
  6. Tushar Gupta, Leila Aflatoony, and Lynette Leonard. 2021. Augmenta11y: A Reading Assistant Application for Children with Dyslexia. In Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21). Association for Computing Machinery, New York, NY, USA, Article 53, 1–3. https://doi-org.ezproxy.utm.my/10.1145/3441852.3476530Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Tushar Gupta, Leila Aflatoony, and Lynette Leonard. 2022. “A Helping Hand”: Design and Evaluation of a Reading Assistant Application for Children with Dyslexia. In Proceedings of the 33rd Australian Conference on Human-Computer Interaction (OzCHI '21). Association for Computing Machinery, New York, NY, USA, 242–251. https://doi-org.ezproxy.utm.my/10.1145/3520495.3522703Google ScholarGoogle Scholar
  8. Daniel Wessel, Ann-Kathrin Kennecke, and Moreen Heine. 2021. WCAG and Dyslexia — Improving the Search Function of Websites for Users With Dyslexia (Without Making It Worse for Everyone Else). In Proceedings of Mensch und Computer 2021 (MuC '21). Association for Computing Machinery, New York, NY, USA, 168–179. https://doi-org.ezproxy.utm.my/10.1145/3473856.3473867Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Ming-Sheng Shih, Jo-Han Chang, and Tung-Yi Cheng. 2019. The design guideline for dyslexics-friendly Chinese ATM interface. In Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4E '19). Association for Computing Machinery, New York, NY, USA, 416–420. https://doi-org.ezproxy.utm.my/10.1145/3306500.3306519Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Vagner F. de Santana, and Maria C.C. Baranauskas. 2015. WELFIT: A remote evaluation tool for identifying web usage patterns through client-side logging. International Journal of Human-Computer Studies, 76, 40-49. https://doi.org/10.1016/j.ijhcs.2014.12.005Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Jakob Nielsen. 2008. Agile Development Projects and Usability. Retrieved from https://www.nngroup.com/articles/agile-development-and-usability/Google ScholarGoogle Scholar
  12. Grahan R. Gibbs. 2018. Analyzing Qualitative Data (2nd. ed.). SAGE Publications Ltd.Google ScholarGoogle Scholar
  13. Nursultan Askarbekuly. 2017. Joode: learn Arabic Alphabet. Retrieved from https://apps.apple.com/us/app/joode-learn-arabic-alphabet/id1138728895Google ScholarGoogle Scholar
  14. Teh Y. Pin. 2015. Evaluation of Design Guidelines: Questionnaire Design for Evaluating Children Educational App. Masters Dissertation. Universiti Tunku Abdul Rahman, Malaysia.Google ScholarGoogle Scholar

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            cover image ACM Other conferences
            Asian CHI '23: Proceedings of the Asian HCI Symposium 2023
            April 2023
            109 pages
            ISBN:9798400707612
            DOI:10.1145/3604571

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            Publication History

            • Published: 3 October 2023

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