Identification of Features of E-Book Reading Applications for Children with Dyslexia: Systematic Review

Document Type : Research Paper

Authors

1 Department of Knowledge and Information Science, Faculty of Education and Psychology, Shiraz University, Shiraz, Iran.

2 Corresponding Author, Department of Knowledge and Information Science, Faculty of Education and Psychology, Shiraz University, Shiraz, Iran.

3 Department of Special Education, Faculty of Education and Psychology, Shiraz University, Shiraz, Iran.

4 Department of Educational Psychology, Faculty of Education and Psychology, Shiraz University, Shiraz, Iran.

Abstract

Objective: The present study aims to identify the features necessary for developing an e-book reading application designed specifically for children with dyslexia, enabling them to engage more effectively with storybooks.
Method: A systematic review method was employed, following the model proposed by Kitchenham and Charters to ensure coherence in data collection. Relevant texts were gathered by searching for related keywords in both national and international databases, retrieving 216 studies (32 in Persian and 184 in English). In the initial review, unrelated, duplicate, and invalid studies were removed by examining the articles’ titles, abstracts, and results. In the next step, two experts in Library and Information Science validated and screened the studies. Ultimately, 74 studies in English and 10 studies in Persian (totaling 84 studies) were selected as the basis for analysis.
Results: The systematic review identified four overarching categories of features: search, profile, book, and user interface. Additionally, 12 organizing features were extracted, including search techniques, features in the search results list, user's personal information, my library panel, my activities panel, personalization panel, descriptive information about the book, electronic display of the book, image features, tools to assist in better reading of the book, and specific user interface features for displaying books to children with reading difficulties. Furthermore, 180 foundational features for e-book reading applications were identified.
Conclusions: The features extracted in this research can be divided into general and specific features. General features include those related to search (such as search techniques and capabilities available in the results list), profiles of children with dyslexia (including user personal information, my library panel, my purchases panel, my activities panel, and personalization), and the user interface of the system. These features should be considered in all reading applications designed for children. On the other hand, specific features are tailored to reading applications for children with dyslexia and are implemented by taking into account the unique needs of this group. Features related to the electronic display of books, book images, and tools that assist in better reading of books fall into this category.

Keywords


Adams, E. J., Nguyen, A. T., & Cowan, N. (2018). Theories of working memory: Differences in definition, degree of modularity, role of attention, and purpose. Language, speech, and hearing services in schools, 49(3), 340-355. https://doi.org/10.1044/2018_LSHSS-17-0114
Alharthi, H., & Inkpen, D. (2019, April). Study of linguistic features incorporated in a literary book recommender system. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 1027-1034). https://doi.org/10.1145/3297280.329738
Ali, Z., Khusro, S., & Ullah, I. (2016, May). A hybrid book recommender system based on table of contents (toc) and association rule mining. In Proceedings of the 10th International Conference on Informatics and Systems (pp. 68-74). https://doi.org/10.1145/2908446.2908481
Amendum, S. J., Conradi, K., & Hiebert, E. (2018). Does text complexity matter in the elementary grades? A research synthesis of text difficulty and elementary students’ reading fluency and comprehension. Educational Psychology Review, 30, 121-151.
Asghari Nekah, S. M., Kalani, S., & Ghanaee Chaman Abad, A. (2013). An introduction to designing educational-computer games with the linguistics approach in the area of disorders especially in learning. J Except Educ, 5 (118), 36-48. http://exceptionaleducation.ir/article-1-27-fa.html (in Persian)
Ashtari, A., & Kangavi, M. R. (2007, June). Designing a user model for personalization in digital libraries using data mining. In First Conference on Data Mining in Iran. https://civilica.com/doc/33042 (in Persian)
Astaraki, A., & Rastgar, H. (2015, March). A book recommendation system using ontology. In International Conference on Applied Research in Information Technology, Computer and Telecommunications. https://civilica.com/doc/451141 (in Persian)
Athènes, S., Raynal, M., Truillet, P., & Vinot, J. L. (2009, May). Ysilex: a friendly reading interface for dyslexics. In ICTA 2009, International Conference on Information & Communication Technologies: from Theory to Applications (pp. 1-8).
Attride-Stirling, J. (2001). Thematic networks: an analytic tool for qualitative research. Qualitative research, 1(3), 385-405. https://doi.org/10.1177/146879410100100307
Azimian, M., Azimi, A., & Riahinia, N. (2020). The feasibility study of launching book recommendation system on the basis of a lending and selling system of e-books and digital Taktab. Human Information Interaction, 7(3), 1-17. http://dorl.net/dor/20.1001.1.24237418.1399.7.3.5.1 (in Persian)
Bachmann, C., & Mengheri, L. (2018). Dyslexia and fonts: Is a specific font useful?. Brain Sciences, 8(5), 1-12. https://doi.org/10.3390/brainsci8050089
Baddeley, A. (2003). Working memory and language: An overview. Journal of Communication Disorders, 36(3), 189-208. https://doi.org/10.1016/s0021-9924(03)00019-4
Baddeley, A. (2012). Working memory: Theories, models, and controversies. Annual Review of Psychology, 63(1), 1-29. https://doi.org/10.1146/annurev-psych-120710-100422
Benmarrakchi, F., El Kafi, J., Elhore, A., & Haie, S. (2017). Exploring the use of the ICT in supporting dyslexic students’ preferred learning styles: A preliminary evaluation. Education and Information Technologies, 22, 2939-2957. http://dx.doi.org/10.1007/s10639-016-9551-4
Berget, G., & Sandnes, F. E. (2015). Searching databases without query-building aids: implications for dyslexic users. IR informationresearch, 22(4), 1-16.
BL, V. (2019). Typicality‐based collaborative filtering for book recommendation. Expert Systems, 36(3), 1-8. https://doi.org/10.1111/exsy.12382
British Dyslexia Association. (2023) Dyslexia style guide. https://cdn.bdadyslexia.org.uk/uploads/documents/Advice/style-guide/BDA-Style-Guide-2023.pdf
Brookshire, J., Scharff, L. F., & Moses, L. E. (2002). The influence of illustrations on children's book preferences and comprehension. Reading psychology, 23(4), 323-339. http://dx.doi.org/10.1080/713775287
Catts, H. W., & Hogan, T. P. (2020). Dyslexia: An ounce of prevention is better than a pound of diagnosis and treatment. http://dx.doi.org/10.31234/osf.io/nvgje
Chaiwong, J., Prajugjit, N., & Sookhanaphibarn, K. (2020, March). Book recommendation website with chatbot. In 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech) (pp. 193-195). IEEE. http://dx.doi.org/10.1109/LifeTech48969.2020.1570620276
Chandak, M., Girase, S., & Mukhopadhyay, D. (2015). Introducing hybrid technique for optimization of book recommender system. Procedia Computer Science, 45, 23-31. https://doi.org/10.1016/j.procs.2015.03.075
Chen, C. J., & Keong, M. W. Y. (2017). Affording inclusive dyslexia-friendly online text reading. Universal Access in the Information Society, 16, 951-965. https://link.springer.com/article/10.1007/s10209-016-0501-0
Chen, C. J., Keong, M. W. Y., Teh, C. S., & Chuah, K. M. (2016). Web text reading: what satisfy both dyslexic and normal learners?. Journal of Computers in Education, 3, 47-58. http://dx.doi.org/10.1007/s40692-015-0046-x
Chiasson, S., & Gutwin, C. (2005). Design principles for children’s technology. Interfaces, 7(28), 1-9.
Cui, B., & Chen, X. (2009, August). An online book recommendation system based on web service. In 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery (pp. 520-524). IEEE. https://doi.org/10.1109/FSKD.2009.328
Dadsetan, P. (1983). Reading difficulties. Tehran Journal of the Faculty of Literature and Humanities, 25(1), 405-422. (in Persian)
Dawson, K., Antonenko, P., Lane, H., & Zhu, J. (2019). Assistive technologies to support students with dyslexia. Teaching Exceptional Children, 51(3), 226-239. https://doi.org/10.1177/0040059918794027
Dehghani, Z. (2010). Intelligent recommendation systems in digital libraries. Information Science, 27, 147-180. (in Persian)
Denning, J., Pera, M. S., & Ng, Y. K. (2016). A readability level prediction tool for K‐12 books. Journal of the Association for Information Science and Technology, 67(3), 550-565. https://doi.org/10.1002/asi.23417
Druin, A., Foss, E., Hatley, L., Golub, E., Guha, M. L., Fails, J., & Hutchinson, H. (2009, June). How children search the internet with keyword interfaces. In Proceedings of the 8th International conference on interaction design and children (pp. 89-96). https://doi.org/10.1145/1551788.1551804
Duarte Torres, S., Hiemstra, D., Weber, I., & Serdyukov, P. (2012, October). Query recommendation for children. In Proceedings of the 21st ACM international conference on Information and knowledge management (pp. 2010-2014).
Dwijayanti, H., & Sihombing, R. M. (2021, December). The Role of Digital Books in Increasing Reading Motivation among Children with Dyslexia. In ICON ARCCADE 2021: The 2nd International Conference on Art, Craft, Culture and Design (ICON-ARCCADE 2021) (pp. 509-515). Atlantis Press. https://doi.org/10.2991/assehr.k.211228.066
Ekstrand, M. D., Tian, M., Kazi, M. R. I., Mehrpouyan, H., & Kluver, D. (2018, September). Exploring author gender in book rating and recommendation. In Proceedings of the 12th ACM conference on recommender systems (pp. 242-250).
Esmaeili, M. (2018). A study of the reading programs of Fidibo, Taqcheh, and Amazon. Ketabdar 2/0: An Online Journal for Librarians and Researchers, 4(2). http://lib2mag.ir/9737 (in Persian)
Esteves, K. J., & Whitten, E. (2011). Assisted reading with digital audiobooks for students with reading disabilities. Reading Horizons51(1), 21-40.
Fails, J. A., Pera, M. S., Anuyah, O., Kennington, C., Wright, K. L., & Bigirimana, W. (2019, June). Query formulation assistance for kids: What is available, when to help & what kids want. In Proceedings of the 18th ACM international conference on interaction design and children (pp. 109-120). https://doi.org/10.1145/3311927.3323131
Feathers, K. M., & Arya, P. (2012). The role of illustrations during children's reading. Journal of Children's Literature, 38(1), 36-43.
Fourney, A., Ringel Morris, M., Ali, A., & Vonessen, L. (2018, June). Assessing the readability of web search results for searchers with dyslexia. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (pp. 1069-1072). https://doi.org/10.1145/3209978.3210072
Franzen, L., Stark, Z., & Johnson, A. (2019). AB004. The dyslexia font OpenDyslexic facilitates visual processing of text and improves reading comprehension in adult dyslexia. Annals of Eye Science, 4, 1-4. http://dx.doi.org/10.21037/aes.2019.AB004
Gossen, T., Nitsche, M., & Nürnberger, A. (2012, August). Search User Interface Design for Children: Challenges and Solutions. In EuroHCIR (pp. 59-62).
Gupta, T., Aflatoony, L., & Leonard, L. (2021, November). “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 (pp. 242-251).
Hariadi, A. I., & Nurjanah, D. (2017, November). Hybrid attribute and personality based recommender system for book recommendation. In 2017 International conference on data and software engineering (ICoDSE) (pp. 1-5). IEEE. https://doi.org/10.1109/ICODSE.2017.8285874
Hasanpour Lima, F. (2018). The impact of storytelling on improving reading and academic performance in students with reading disorders. [Master's thesis, Department of Clinical Psychology, Faculty of Educational Sciences and Psychology, Shahid Beheshti University]. (in Persian)
Hatami Amirsalari, S. Z. (2021). The effectiveness of storytelling on working memory performance and language development in students with reading difficulties. [Master's thesis, Department of Exceptional Child Education, Faculty of Educational Sciences and Psychology, Shiraz University]. (in Persian)
Hejres, M. M., & Tinker, A. J. (2024). Informing the design of an accessible arabic typeface: A visual analysis to identify letterform features of dyslexia-friendly typefaces. Societies, 14(4), 1-27. https://doi.org/10.3390/soc14040045
Horowitz-Kraus, T., Rosch, K., Fotang, J., Mostofsky, S. H., Schlaggar, B. L., Pekar, J., ... & Farah, R. (2023). Fluent contextual reading is associated with greater synchronization of the visual and auditory networks, fluent reading and better speed of processing in children with dyslexia. Cortex, 168, 62-75. https://doi.org/10.1016/j.cortex.2023.07.007
Jadán-Guerrero, J., Sanchez-Gordon, S., Acosta-Vargas, P., Alvites-Huamaní, C. G., & Nunes, I. L. (2020). Interactive storytelling books for fostering inclusión of children with special needs. In Advances in Human Factors and Systems Interaction: Proceedings of the AHFE 2020 Virtual Conference on Human Factors and Systems Interaction, July 16-20, 2020, USA (pp. 222-228). Springer International Publishing. http://dx.doi.org/10.1007/978-3-030-51369-6_30
Jakovljević, T., Janković, M. M., Savić, A. M., Soldatović, I., Čolić, G., Jakulin, T. J., ... & Ković, V. (2021). The relation between physiological parameters and colour modifications in text background and overlay during reading in children with and without dyslexia. Brain sciences, 11(5), 539. https://doi.org/10.3390/brainsci11050539
Jochmann-Mannak, H. E. (2014). Websites for Childeren: Search Strategies and Interface Design: Three Studies on Children's Search Performance and Evaluation. University of Twente.
Jomsri, P. (2014, August). Book recommendation system for digital library based on user profiles by using association rule. In Fourth edition of the International Conference on the Innovative Computing Technology (INTECH 2014) (pp. 130-134). IEEE. http://dx.doi.org/10.1109/INTECH.2014.6927766
Jomsri, P. (2018). FUCL mining technique for book recommender system in library service. Procedia Manufacturing, 22, 550-557. http://dx.doi.org/10.1016/j.promfg.2018.03.081
Joseph, H., & Powell, D. (2022). Does a specialist typeface affect how fluently children with and without dyslexia process letters, words, and passages?. Dyslexia, 28(4), 448-470.
Kalantari Dehghi, H. (2022). Appropriate digital content for individuals with reading difficulties: A systematic review. Learning Disabilities, 12(2), 83-100. (in Persian)
Kanetkar, S., Nayak, A., Swamy, S., & Bhatia, G. (2014, August). Web-based personalized hybrid book recommendation system. In 2014 International Conference on Advances in Engineering & Technology Research (ICAETR-2014) (pp. 1-5). IEEE. http://dx.doi.org/10.1109/ICAETR.2014.7012952
Kanvinde, G., Rello, L., & Baeza-Yates, R. (2012, October). IDEAL: A dyslexic-friendly ebook reader. In Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility (pp. 205-206). http://dx.doi.org/10.1145/2384916.2384955
Khavidaki, S., Rezaei Sharifabadi, S., & Ghaebi, A. (2022). Status of personalized service in digital academic libraries in Iran. Academic Librarianship and Information Research, 56(1), 21-42. https://doi.org/10.22059/jlib.2022.344033.1619  (in Persian)
Kitchenham, B.A., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering, Technical Report (EBSE-2007-01). Keele University and Durham University Joint Report.
Klemes, J., Epstein, A., Zuker, M., Grinberg, N., & Ilovitch, T. (2006). An assistive computerized learning environment for distance learning students with learning disabilities. Open Learning: The Journal of Open, Distance and e-Learning, 21(1), 19-32. http://dx.doi.org/10.1080/02680510500468062
Lau, C.E. (2022). Parting the Cobwebs. Bookbird: A Journal of International Children's Literature, 60(2), 39-49. https://dx.doi.org/10.1353/bkb.2022.0024
Lee, S. H. (2017). Learning vocabulary through e-book reading of young children with various reading abilities. Reading and Writing, 30(7), 1595-1616. https://link.springer.com/article/10.1007/s11145-017-9740-6
Legge, G. E., Parish, D. H., Luebker, A., & Wurm, L. H. (1990). Psychophysics of reading. XI. Comparing color contrast and luminance contrast. JOSA A, 7(10), 2002-2010. http://dx.doi.org/10.1364/JOSAA.7.002002
Legge, G.E. (2007). Psychophysics of Reading in Normal and Low Vision (1st ed.). CRC Press. https://doi.org/10.1201/9781482269482
Leko, M. M., Mundy, C. A., Kang, H. J., & Datar, S. D. (2013). If the book fits: Selecting appropriate texts for adolescents with learning disabilities. Intervention in School and Clinic, 48(5), 267-275. http://dx.doi.org/10.1177/0040059916670630
Li, W., Chen, D., Duan, X., Huang, C., Lü, Y., & Hu, X. (2019, July). The design of disciplinary book recommendation system based on android: A view of extra-curricular activities. In 2019 International Conference on Communications, Information System and Computer Engineering (CISCE) (pp. 136-139). IEEE. http://dx.doi.org/10.1109/CISCE.2019.00038
Li, Y. (2018, September). A book recommendation algorithm based on improved similarity calculation. In 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE) (pp. 615-618). IEEE. http://dx.doi.org/10.2991/icmmcce-15.2015.262
Liang, Y., & Wan, S. (2018, November). the design and implementation of books recommendation system. In 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS) (pp. 305-308). IEEE. http://dx.doi.org/10.1109/ICSESS.2018.8663914
Lukeš, D. (2015, July). Dyslexia friendly reader: Prototype, designs, and exploratory study. In 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1-6). IEEE. http://dx.doi.org/10.1109/IISA.2015.7388008
Luo, Z. (2012, October). Realization of individualized recommendation system on books sale. In 2012 International Conference on Management of e-Commerce and e-Government (pp. 10-13). IEEE. http://dx.doi.org/10.1109/ICMeCG.2012.25
Madeira, J., Silva, C., Marcelino, L., & Ferreira, P. (2015). Assistive mobile applications for dyslexia. Procedia Computer Science, 64, 417-424. http://dx.doi.org/10.1016/j.procs.2015.08.535
Maneewongvatana, S. C., Suntornacane, A., & Assawawayuyothin, N. (2018, October). Book recommended formulation based on multiple bibliographic information. In Proceedings of the 10th International Conference on Education Technology and Computers (pp. 277-281). https://doi.org/10.1145/3290511.3290548
Maneewongvatana, S., & Maneewongvatana, S. (2010, October). A recommendation model for personalized book lists. In 2010 10th International Symposium on Communications and Information Technologies (pp. 389-394). IEEE. http://dx.doi.org/10.1109/ISCIT.2010.5664873
Md Mahtar, I. F. (2018). Digital text presentation and navigation to support people with dyslexia [PhD Thesis, Department of Computer Science, University of York].
Milton, A., Batista, L., Allen, G., Gao, S., Ng, Y. K. D., & Pera, M. S. (2020, September). “Don’t judge a book by its cover”: Exploring book traits children favor. In Proceedings of the 14th ACM Conference on Recommender Systems (pp. 669-674). http://dx.doi.org/10.1145/3383313.3418490
Milton, A., Green, M., Keener, A., Ames, J., Ekstrand, M. D., & Pera, M. S. (2019, September). StoryTime: eliciting preferences from children for book recommendations. In Proceedings of the 13th ACM Conference on Recommender Systems (pp. 544-545). http://dx.doi.org/10.1145/3298689.3347048
Moe, S., & Wright, M. (2013). Can accessible digital formats improve reading skills, habits and educational level for dyslectic youngsters? In Universal Access in Human-Computer Interaction. Applications and Services for Quality of Life: 7th International Conference (pp. 203-212). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-39194-1_24
Mooney, R. J., & Roy, L. (2000, June). Content-based book recommending using learning for text categorization. In Proceedings of the fifth ACM conference on Digital libraries (pp. 195-204). http://dx.doi.org/10.33736/jcshd.510.2017
Morris, M. R., Fourney, A., Ali, A., & Vonessen, L. (2018, April). Understanding the needs of searchers with dyslexia. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1-12). http://dx.doi.org/10.1145/3173574.3173609
Obim, I. E., & Onuorah, A. R. (2021, September). Librarians’ use of digital storytelling for students with learning disabilities: results from two countries. In IASL Annual Conference Proceedings (pp. 1-21). http://dx.doi.org/10.29173/iasl8307
Osman, W. L. B. W., & Uda, R. (2014, January). A translator website for dyslexic children. In Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication (pp. 1-5). http://dx.doi.org/10.1145/2557977.2558016
Ostapenko, D. E., & Buldin, I. D. (2021, January). Development of a book recommendation service for implementation on Android. In 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus) (pp. 569-572). IEEE. https://doi.org/10.1109/ElConRus51938.2021.9396414
Parvatikar, S., & Joshi, B. (2015, December). Online book recommendation system by using collaborative filtering and association mining. In 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) (pp. 1-4). IEEE. http://dx.doi.org/10.1109/ICCIC.2015.7435717
Pathak, D., Matharia, S., & Murthy, C. N. S. (2013, February). NOVA: Hybrid book recommendation engine. In 2013 3rd IEEE international advance computing conference (IACC) (pp. 977-982). IEEE. http://dx.doi.org/10.1109/IAdCC.2013.6514359
Patil, P.D., Gandhi, G., Moharir, A., Pingle, V., & Pujari, S. (2022). Earbook. International Journal for Research in Applied Science and Engineering Technology, 10(6), 369-391.
Pera, M. S., & Ng, Y. K. (2011, August). With a little help from my friends: generating personalized book recommendations using data extracted from a social website. In 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (pp. 96-99). IEEE. http://dx.doi.org/10.1109/WI-IAT.2011.9
Pera, M. S., & Ng, Y. K. (2012, October). Personalized recommendations on books for k-12 readers. In Proceedings of the fifth ACM workshop on research advances in large digital book repositories and complementary media (pp. 11-12). http://dx.doi.org/10.1145/2390116.2390124
Pera, M. S., & Ng, Y. K. (2013, October). What to read next? Making personalized book recommendations for k-12 users. In Proceedings of the 7th ACM conference on Recommender systems (pp. 113-120). http://dx.doi.org/10.1145/2507157.2507181
Pera, M. S., & Ng, Y. K. (2014, August). How can we help our k-12 teachers?: Using a recommender to make personalized book suggestions. In 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) (pp. 335-342). IEEE. http://dx.doi.org/10.1109/WI-IAT.2014.116
Pera, M. S., & Ng, Y. K. (2014, October). Automating readers' advisory to make book recommendations for K-12 readers. In Proceedings of the 8th ACM Conference on Recommender Systems (pp. 9-16). http://dx.doi.org/10.1145/2645710.2645721
Pera, M. S., & Ng, Y. K. (2015, August). Analyzing book-related features to recommend books for emergent readers. In Proceedings of the 26th ACM conference on hypertext & Social Media (pp. 221-230). http://dx.doi.org/10.1145/2700171.2791037
Pirani, Z., & Sasikumar, M. (2015). Assistive e-learning system for the learning disabled. Procedia Computer Science, 45, 718-727. http://dx.doi.org/10.1016/j.procs.2015.03.139
Priyanka, K., Tewari, A. S., & Barman, A. G. (2015, April). Personalised book recommendation system based on opinion mining technique. In 2015 global conference on communication technologies (GCCT) (pp. 285-289). IEEE. http://dx.doi.org/10.1109/GCCT.2015.7342668
Rafiei Isfahani, G., & Zarei Varkani, S. (2016, July). A book recommendation system using artificial intelligence techniques and ontology. In Third International Conference on Applied Research in Computer Engineering and Information Technology. https://civilica.com/doc/466847 (in Persian)
Reichenberg, M. (2013). Are “reader-friendly” texts always better?. IARTEM e-Journal, 5(2), 64-84.
Rello, L. (2014). DysWebxia: a text accessibility model for people with dyslexia. [PhD Thesis, Department of Information and Communication Technologies, Pompeu Fabra University].
Rello, L., & Baeza-Yates, R. (2017). How to present more readable text for people with dyslexia. Universal Access in the Information Society, 16, 29-49. https://link.springer.com/article/10.1007/s10209-015-0438-8
Rello, L., Baeza-Yates, R., Saggion, H., Bayarri, C., & Barbosa, S. D. (2013, October). An iOS reader for people with dyslexia. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 1-2). http://dx.doi.org/10.1145/2513383.2513419
Rello, L., Kanvinde, G., & Baeza-Yates, R. (2012). A mobile application for displaying more accessible eBooks for people with Dyslexia. Procedia Computer Science, 14, 226-233. http://dx.doi.org/10.1016/j.procs.2012.10.026
RIANT, C. (2021). Digital reading and ebooks for dyslexia: A literature review. E-Books production, distribution, reading, 15, 1-13.
Roitsch, J., & Watson, S. M. (2019). An overview of dyslexia: definition, characteristics, assessment, identification, and intervention. Science Journal of Education, 7(4), 81-86. http://dx.doi.org/10.11648/j.sjedu.20190704.11
Safavi, Z., Ghaebi, A., & Baradar, R. (2021). Identification of the features of e-reader applications and evaluation of widely used Iranian applications. Research on Information Science and Public Libraries, 27 (3), 403-438. http://dorl.net/dor/20.1001.1.26455730.1400.27.3.3.3 (in Persian)
Sanfilippo, J., Ness, M., Petscher, Y., Rappaport, L., Zuckerman, B., & Gaab, N. (2020). Reintroducing dyslexia: Early identification and implications for pediatric practice. Pediatrics, 146, 2-9. http://dx.doi.org/10.1542/peds.2019-3046
Shaikh, M. T., Pera, M. S., & Ng, Y. K. (2015, December). Suggesting simple and comprehensive queries to elementary-grade children. In 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (pp. 252-259). IEEE. https://doi.org/10.1109/WI-IAT.2015.193
Sheppard, S. M., Nobles, S. L., Palma, A., Kajfez, S., Jordan, M., Crowley, K., & Beier, S. (2023). One font doesn’t fit all: the influence of digital text personalization on comprehension in child and adolescent readers. Education Sciences, 13(9), 864. https://doi.org/10.3390/educsci13090864
Snowling, M. J., Hulme, C., & Nation, K. (2020). Defining and understanding dyslexia: Past, present and future. Oxford Review of Education, 46(4), 501-513. http://dx.doi.org/10.1080/03054985.2020.1765756
Sohail, S. S., Siddiqui, J., & Ali, R. (2016). Feature extraction and analysis of online reviews for the recommendation of books using opinion mining technique. Perspectives in Science, 8, 754-756. http://dx.doi.org/10.1016/j.pisc.2016.06.079
Sohail, S. S., Siddiqui, J., & Ali, R. (2018). An OWA‐based ranking approach for university books recommendation. International Journal of Intelligent Systems, 33(2), 396-416. http://dx.doi.org/10.1002/int.21937
Sohail, S. S., Siddiqui, J., & Ali, R. (2018). Feature-based opinion mining approach (FOMA) for improved book recommendation. Arabian Journal for Science and Engineering, 43, 8029-8048.
Sun, X. (2023). The influence of illustrations in literary texts on children's reading comprehension. Lecture Notes in Education Psychology and Public Media, 22, 204-212. http://dx.doi.org/10.54254/2753-7048/22/20230311
Taheri, H. (2021). A comparison of the effectiveness of Kurdish and Persian stories on reading performance in fourth-grade students with reading disorders in Piranshahr. [Master's thesis, Department of General Psychology, Payame Noor University of West Azerbaijan, Mahabad Center]. (in Persian)
Tsuji, K., Yoshikane, F., Sato, S., & Itsumura, H. (2014, August). Book recommendation using machine learning methods based on library loan records and bibliographic information. In 2014 IIAI 3rd International Conference on Advanced Applied Informatics (pp. 76-79). IEEE. http://dx.doi.org/10.1109/IIAI-AAI.2014.26
Wayesa, F., Leranso, M., Asefa, G., & Kedir, A. (2023). Pattern-based hybrid book recommendation system using semantic relationships. Scientific Reports, 13(1), 1-12. http://dx.doi.org/10.1038/s41598-023-30987-0
Williams, P., & Shekhar, S. (2019). People with learning disabilities and smartphones: testing the usability of a touch-screen interface. Education Sciences, 9(4), 1-16. http://dx.doi.org/10.3390/educsci9040263
Xin, L., Haihong, E., Junjie, T., Meina, S., & Yi, L. (2014, May). Enhancing book recommendation with side information. In 2014 International Conference on Service Sciences (pp. 142-146). IEEE.
Yarmohamadian, A., Ghamarani, A., Shirzadi, P., & Ghasemi, M. (2016). The Effectiveness of Storytelling method on Reading Performance of Students with Dyslexia in third grade primary school boys in Isfahan. MEJD, 6, 184-190. http://dorl.net/dor/20.1001.1.23222840.1395.6.0.27.8  (in Persian)
Zavadenko, N.N. (2021). Dyslexia as the most prevalent form of specific learning disabilities. L.O. Badalyan Neurological Journal, 2(3), 146-158. http://dx.doi.org/10.46563/2686-8997-2021-2-3-146-158
Zhang, G., & Sun, W. (2012, June). User preferences to attributes of books for personalized recommendation. In 2012 IEEE International Conference on Computer Science and Automation Engineering (pp. 681-684). IEEE. http://dx.doi.org/10.1109/ICSESS.2012.6269558
Zhang, P., Gu, H., Gartrell, M., Lu, T., Yang, D., Ding, X., & Gu, N. (2016). Group-based latent dirichlet allocation (group-lda): Effective audience detection for books in online social media. Knowledge-Based Systems, 105, 134-146. http://dx.doi.org/10.1016/j.knosys.2016.05.006
Zhao, H., Wu, H., Li, J., Zhang, H., & Wang, X. (2020). Dtree2vec: A High-Accuracy and Dynamic Scheme for Real-Time Book Recommendation by Serialized Chapters and Local Fine-Grained Partitioning. IEEE Access, 8, 23197-23208. http://dx.doi.org/10.1109/ACCESS.2020.2968220
Zhu, Y. (2016, December). A book recommendation algorithm based on collaborative filtering. In 2016 5th International Conference on Computer Science and Network Technology (ICCSNT) (pp. 286-289). IEE.