General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2017 Vol.9(1): 16-19 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1103

Defining Formal Letter Similarity for Purposes of Accessing Web Information by Users with Dyslexia and Other Reading Disorders

Tereza Pařilová, Eva Hladká, and Jaroslav Bayer

Abstract—In many papers, dyslexia is identified as a specific learning difficulty (SpLD). However, reading disorders do not have to be only due to dyslexia. Development of technologies for users with reading or symbol disorder is neglected due to the statistically inconsistent number of users diagnosed across languages, or because of the dependency of the technology on specific language principles. We are developing an application that will allow Czech speaking users with reading disorders to access web information better, which also means easier socialization and access to education. For such an application, we need to determine what the problem in text is for (not only diagnosed) dyslexic users and how we can find it. Therefore, a simple formal methodology for identifying visual similarity of letters is needed. The LAP algorithm introduced in this paper will help to find possible similarity view as users with reading disorders have. The application built upon this will be used for allowing dyslexic users to better access text information from web and also for users with temporary neurological disorders as a result of a disease, trauma or operation.

Index Terms—Web accessibility, dyslexia, design, language accessibility, dyslexia, similarity search.

All authors are with the Masaryk University/Faculty of Informatics, Brno, Czech Republic (e-mail: {parilova, eva, 72873}@mail.muni.cz).

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Cite:Tereza Pařilová, Eva Hladká, and Jaroslav Bayer, "Defining Formal Letter Similarity for Purposes of Accessing Web Information by Users with Dyslexia and Other Reading Disorders," International Journal of Computer Theory and Engineering vol. 9, no. 1, pp. 16-19, 2017.


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