Research of the accessibility of Russian universities websites for persons with visual disabilities

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Abstract

Problem statement. Nowadays the demand for university websites has increased. According to the law, versions for visually impaired have been introduced on educational sites in Russia. The research objective is to evaluate accessibility of sites and quality of versions for visually impaired (mainly in an automatic way), and to identify the best way to implement such solutions and to create accessible sites in general. Methodology. A software system for collecting metrics from websites in two versions - a normal and for visually impaired users - has been developed. Quantitative metrics based on the HTML code of home- pages and visual analysis of homepages screenshots are compared. Metrics were also received by manual testing. Results. Data from 571 universities websites with open access to files was observed. The correlation analysis of metrics was carried out. The quality of versions for visually impaired was assessed, recommendations were made for technical implementation and a standard set of settings for panel of version for visually impaired users. Statistics of used ready-made solutions, as well as website development tools, was collected. Conclusion. An idea has appeared about current issues in the field of accessibility of educational sites in Russia, and about what can be used to evaluate and developing of accessible sites. The recommendations can be used as one of the guidelines for developing or checking versions for visually impaired.

About the authors

Alexander S. Pudich

Novosibirsk State Technical University

Email: pudichas@gmail.com
ORCID iD: 0000-0001-7918-7178

postgraduate student

20 Prospekt Karla Marksa, Novosibirsk, 630073, Russian Federation

Mikhail G. Grif

Novosibirsk State Technical University

Email: grifmg@mail.ru
ORCID iD: 0000-0003-3016-3647

Doctor of Technical Sciences, Full Professor, Professor of the Department of Automated Control Systems, Faculty of Automation and Computer Engineering

20 Prospekt Karla Marksa, Novosibirsk, 630073, Russian Federation

Maxim A. Bakaev

Novosibirsk State Technical University

Author for correspondence.
Email: bakaev@corp.nstu.ru
ORCID iD: 0000-0002-1889-0692

Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Automated Control Systems, Faculty of Automation and Computer Engineering

20 Prospekt Karla Marksa, Novosibirsk, 630073, Russian Federation

References

  1. Pudich AS. Evaluation of the quality of graphical web interfaces based on visual analysis. Promising Scientific Research: Experience, Problems and Prospects of Development. 2019;(1):131–136. (In Russ.)
  2. Bakaev M, Heil S, Khvorostov V, Gaedke M. HCI vision for automated analysis and mining of web user interfaces. In: Mikkonen T, Klamma R, Hernández J. (eds) Web Engineering. ICWE 2018. Cham: Springer; 2018. p. 136–144. https://doi.org/10.1007/978-3-319-91662-0_10
  3. Nacheva R, Bakaev M. Elder users’ experience evaluation of Bulgarian and Russian e-government websites. Economic Science, Education and the Real Economy: Development and Interactions in the Digital Age. 2020;(1):141–152.
  4. Guo F, Jiahao C, Li M. Effects of visual complexity on user search behavior and satisfaction: an eye-tracking study of mobile news apps. Universal Access in the Information Society. 2021. https://doi.org/10.1007/s10209-021-00815-1

Copyright (c) 2022 Pudich A.S., Grif M.G., Bakaev M.A.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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