Abstract
Dyslexia is a specific learning difficulty that affects an individual's ability to process, store, and retrieve information. This learning disorder consequently affects the educational development of children with Dyslexia. Early screening for people with Dyslexia is essential to assist them in the critical stages of learning. This work thus fundamentally contributes toward designing and implementing screening tools for Dyslexia. It is specifically directed at Arabic-speaking children under 5 years of age who are being screened for Dyslexia. The goal is a virtual reality game that implements one or more screening activities engagingly and, at the same time, can indicate the level of the child's interaction in the activity. Our proposed project aims to create a screening for dyslexic preschoolers by creating a Virtual Reality game that is simple and exciting. A set of questions will be presented to the user. In this VR game, we use Natural Language Processing (NLP) to understand, analyze, manipulate, and interpret human languages. Clinicians can use our product, but it is recognized that parents and educators help in the early detection of Dyslexia. In conclusion, the proposed project aims to provide an objective tool for the screening process. Using VR, gamification, and NLP technology, LexiaQuest is designed to be an immersive experience that is fun, engaging, and empowering without the possible stigma of clinical or hospital settings.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kern, R.: Language, Literacy, and Technology. Cambridge University Press, United Kingdom (2015)
Alkhashrami, S., Alghamdi, H., Al-Wabil, A.: Human factors in the design of Arabic-language interfaces in assistive technologies for learning difficulties, Human-Computer Interaction. Advanced Interaction Modalities and Techniques, pp. 362–369 (2014)
Al-Edaily, A., Al-Wabil, A., Al-Ohali, Y.: Dyslexia explorer: a screening system for learning difficulties in the Arabic language using eye tracking. In: Holzinger, A., Ziefle, M., Hitz, M., Debevc, M. (eds.) SouthCHI 2013. LNCS, vol. 7946, pp. 831–834. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39062-3_63
Al-Edaily, A., Al-Wabil, A., Al-Ohali, Y.: Interactive screening for learning difficulties: analyzing visual patterns of reading Arabic scripts with eye tracking. In: Stephanidis, C. (ed.) HCI 2013. CCIS, vol. 374, pp. 3–7. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39476-8_1
Al-Wabil, A., Al-Sheaha, M.: Towards an interactive screening program for developmental Dyslexia: eye movement analysis in reading Arabic texts. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010. LNCS, vol. 6180, pp. 25–32. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-14100-3_5
AlSabban, M., Alorij, S., Alshamrani, G., Alharbi, O.: Humanistic co-design for specific learning difficulties using scenario-based personas: tangible Arabic alphabet blocks for Dyslexia. In: Stephanidis, C., Antona, M., Gao, Q., Zhou, J. (eds.) HCII 2020. LNCS, vol. 12426, pp. 24–33. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60149-2_3
Gamit, M.R., Dhameliya, K., Bhatt, N.S.: Classification techniques for speech recognition: a review. SemanticScholar (2015)
El-Baz, A., Casanova, M., Gimel’farb, G., Mott, M., Switala, A.: An MRI-based diagnostic framework for early diagnosis of dyslexia. Int. J. Comput. Assisted Radiol. Surg. 3, pp. 181–189 (2008)
Elnakib, A., Soliman, A., Nitzken, M., Casanova, M.F., Gimel’farb, G., El-Baz, A.: Magnetic resonance imaging findings for dyslexia: a review. J. Biomed. Nanotechnol. 10(10), 2778–2805 (2014)
Asvestopoulou, T., et al.: Dyslexml: screening tool for dyslexia using machine learning. arXiv preprint arXiv:1903.06274 (2019)
Abu-Rabia, S.: Dyslexia in Arabic. In: Smyth, I., Everatt, J. Salter, R., (Eds.), International Book of Dyslexia: A Cross-Language Comparison and Practice Guide, pp. 31–38. John Wiley & Sons, West Sussex (2004)
Al-Wabil, A., Meldah, E., Al-Suwaidan, A., AlZahrani, A.: Designing educational games for children with specific learning difficulties: insights from involving children and practitioners. In: Fifth International Multi-Conference on Computing in the Global Information Technology, pp. 195–198, IEEE (2010)
Global Entertainment & Media Outlook 2022–2026: TMT, PwC. https://www.pwc.com/gx/en/industries/tmt/media/outlook.html. Accessed 28 Nov 2022
Natural language processing step by step guide: NLP for data scientists. https://www.analyticsvidhya.com/blog/2021/05/natural-language-processing-step-by-step-guide/. Accessed 26 May 2021
Toma, R., Alcala, D.: FORDYSVAR EBOOK: Best practices and technological resources for students with Specific Learning Difficulties (SpLDs) (2022)
Proud to be an advocate for dyslexia. Arab News. https://www.arabnews.com/node/1852631/saudi-arabia. Accessed 04 Dec 2022
Alsswey, A., El-Qirem, F.A., Tarawneh, M.: Dyslexic Arabic students in the Arab Countries: a systematic review of assistive technology progress and recommendations. Int. J. Early Childhood Special Educ. 13(1) (2021)
Layes, S., Lalonde, R., Rebai, M.: Effects of an adaptive phonological training program on reading and phonological processing skills in Arabic-speaking children with dyslexia. Read. Writ. Q. 35(2), 103–117 (2019)
Acknowledgement
We sincerely thank Dr. Mariam Ahmad Elsayed, MD, MSc, PhD, for providing the necessary medical guidance in the early design stage of our Virtual Reality game project. Her thorough feedback helped in improving the game interface taking into consideration the design principles that match the Dyslexic measures to help reduce the distraction level for young preschoolers who suffer from the developmental disorder for early detection purposes. This work has been done under CoE’s game innovation lab and ORI and dimensions’ game innovation center’s support at Alfaisal university in collaboration with the CoCreate program for user research, winning Ithra's award in 2021. For that, we extend our thanks to the game center for granting us access to tools and resources and for helping our research to grow and we thank all other involved entities for the magnificent support. The authors acknowledge the support of Dr. Mohamed A. Bahloul and Dr. Areej Al-Wabil in reviewing the draft of this manuscript and the contribution of speech pathologist, Rogaiyah M. Hamidaddin, in the co-design process for user research in the LexiaQuest project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
ElSayed, H., Aldegaither, S., AlArifi, N., Monawar, A., Hamidalddin, A. (2023). LexiaQuest: Exploring the Feasibility of a NLP-Based Screening Tool for Dyslexia Using Virtual Reality. In: Coman, A., Vasilache, S. (eds) Social Computing and Social Media. HCII 2023. Lecture Notes in Computer Science, vol 14026. Springer, Cham. https://doi.org/10.1007/978-3-031-35927-9_15
Download citation
DOI: https://doi.org/10.1007/978-3-031-35927-9_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-35926-2
Online ISBN: 978-3-031-35927-9
eBook Packages: Computer ScienceComputer Science (R0)