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Accessibility Analysis of Scientific Libraries Web Resources

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Języki publikacji
EN
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A complex system of social and educational inclusion needs competent analysis to make it possible proper management and comprehensive improvement. To analyze one of the actual facets of such a system, namely, its ICT support, it is necessary to take into account the various needs of socially vulnerable people. A set of guidance to web accessibility is a convenient instrument, that provides various approaches in designing goods and technologies. Among other, such guidance helps to design websites with no access barriers, which is extremely important for people with special needs. To analyze the websites and different online resources, which might be of interest to a person with special needs during the social and educational inclusion, a list of characteristics was developed. It must be taken into account the classification and the structure of information materials, website`s structure, design, etc. The unification of the ICT for people, involved in educational and social inclusion, will improve informational and technological support of such process.
Twórcy
autor
  • Information Systems and Networks Department, Lviv Polytechnic National University, UKRAINE, Lviv
  • Information Systems and Networks Department, Lviv Polytechnic National University, UKRAINE, Lviv
autor
  • Information Systems and Networks Department, Lviv Polytechnic National University, UKRAINE, Lviv
autor
  • Information Systems and Networks Department, Lviv Polytechnic National University, UKRAINE, Lviv
autor
  • Information Systems and Networks Department, Lviv Polytechnic National University, UKRAINE, Lviv
Bibliografia
  • 1. Annex to the proposal for a council recommendation on key competences for lifelong learning. 2019. Available at: https://ec.europa.eu/education/sites/education/files/annex-recommendation-key-competences-lifelong-learning.pdf.
  • 2. Horizon 2020 work programme 2014-2015. Available at: http://ec.europa.eu/research/participants/data/ref/h2020/wp/2014_2015/main/h2020-wp1415-societies_en.pdf.
  • 3. Pasichnyk V. Shestakevych T. 2016. The model of data analysis of the psychophysiological survey results. Advances in Intelligent Systems and Computing, vol. 512: 271-281.
  • 4. Campean F. and Yildirim U. 2017. Enhanced sequence diagram for function modelling of complex systems. In: Procedia CIRP, vol. 60: 273-278. Available at: http://www.sciencedirect.com/science/article/pii/S2212827117300549.
  • 5. Kożuch B., Sienkiewicz-Małyjurek K. 2015. Information sharing in complex systems: a case study on public safety management. In: Procedia – Social and Behavioral Sciences, vol. 213: 722-727.
  • 6. Luis E.C. Rocha. 2017. Dynamics of air transport networks: a review from a complex systems perspective. Chinese Journal of Aeronautics, vol. 30(2): 469-478.
  • 7. BS 7000-6:2005 Design management systems, Part 6: Managing inclusive design guide. Available at: https://www.researchgate.net/publication/240989498_BS_7000-62005_Design_management_systems_Part_6_Managing_inclusive_design_guide_Book_review.
  • 8. Shestakevych T., Pasichnyk V., Kunanets N., Medykovskyy M., and Antonyuk N. 2018. Web-products, actual for inclusive school graduates: evaluating the accessibility. In: XIIIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT): XXVII-XXXII.
  • 9. Pasichnyk V., Shestakevych T., Kunanets N., Andrunyk V. 2018. Analysis of completeness, diversity and ergonomics of information online resources of diagnostic and correction facilities in Ukraine. In: 14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer (ICTERI), vol. I: 193-208.
  • 10. Abid Ismail, K. S. Kuppusamy, Ajit Kumar, Pawan Kumar Ojha 2017. Connect the dots: accessibility, readability and site ranking – an investigation with reference to top ranked websites of Government of India, Journal of King Saud University. In: Computer and Information Sciences. Available at: http://www.sciencedirect.com/science/article/pii/S1319157816301550, last accessed 2018/04/27.
  • 11. Youngblood S., Youngblood N. 2018. Usability, content, and connections: how county-level Alabama emergency management agencies communicate with their online public. Government Information Quarterly, vol. 35, iss. 1: 50-60.
  • 12. Yoon K., Dols R., Hulscher L., Newberry T. 2016. An exploratory study of library website accessibility for visually impaired users. Library & Information Science Research, vol. 38, iss. 3: 250-258.
  • 13. Rzheuskyi A., Kunanets N., Kut V. 2017. Methodology of research the library information services: the case of USA university libraries. Advances in Intelligent Systems and Computing II, 2017, vol. 689: 450–460.
  • 14. SimilarWeb. Available at: https://www.similarweb.com/.
  • 15. Information technology - W3C Web Content Accessibility Guidelines (WCAG) 2.0. Available at: https://www.iso.org/standard/58625.html.
  • 16. Andrunyk V., Shestakevych T., Pasichnyk V. 2018. The technology of augmented and virtual reality in teaching children with ASD. Econtechmod. Vol 7, no 4: 59-64.
  • 17. On approval of changes to the procedure for the functioning of web-sites of bodies of executive power, Ukraine stare decree, 16.02.2015 № 24/26. Available at: http://zakon.rada.gov.ua/laws/show/z0240-15.
  • 18. Müller-Brockmann J. 2008. Grid systems in graphic design: a visual communication manual for graphic designers, typographers, and three dimensional designers, Zurich: Verlag Niggli AG.
  • 19. Marcotte E. 2011. Responsive web design. A Book Apart LLC, New York.
  • 20. Designing autism-friendly websites. The National Autistic Society. Available at: http://www.autism.org.uk/professionals/others/website-design.aspx.
  • 21. Rzheuskiy A., Veretennikova N., Kunanets N., Kut V. 2018. The Information Support of Virtual Research Teams by Means of Cloud Managers. International Journal of Intelligent Systems and Applications(IJISA), Vol. 10, No. 2: 37-46.
  • 22. Lytvyn V., Vysotska V., Peleshchak I., Rishnyak I., Peleshchak R. 2018. Time Dependence of the Output Signal Morphology for Nonlinear Oscillator Neuron Based on Van der Pol Model. International Journal of Intelligent Systems and Applications(IJISA), Vol. 10, No. 4: 8-17.
  • 23. Izonin I., Trostianchyn A., Duriagina Z., Tkachenko R., Tepla T., Lotoshynska N. 2018. The Combined Use of the Wiener Polynomial and SVM for Material Classification Task in Medical Implants Production. International Journal of Intelligent Systems and Applications(IJISA), Vol. 10, No. 9: 40-47.
  • 24. Peleshko D., Rak T., Izonin I. 2016. Image Superresolution via Divergence Matrix and Automatic Detection of Crossover. International Journal of Intelligent Systems and Applications (IJISA), Vol. 8, No.12: 1-8.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
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Bibliografia
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