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Modelling the Quality of Adapted Textbooks for People with Low Vision

EasyChair Preprint no. 9674

5 pagesDate: February 6, 2023


People with low vision are one of the primary demographics that make use of accessible content. These users often face difficulties when trying to use regular publications, and the wide variety of vision impairments means the issue of adapting printed publications for this category of readers is far from solved. In this study, we develop a formalized model of adapting textbooks with the help of a semantic network. We then create two multi-level models of factors that influence the quality of adapted textbooks – one with the help of hierarchical modelling, and the other by ranking and determining predicate weights. These models can serve as a baseline for further research into designing a fully optimized model of textbook adaptation.

Keyphrases: Accessibility, low vision, modelling, semantic network, vision impairment

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Rostyslav Zatserkovnyi and Volodymyr Maik and Roksoliana Zatserkovna},
  title = {Modelling the Quality of Adapted Textbooks for People with Low Vision},
  howpublished = {EasyChair Preprint no. 9674},

  year = {EasyChair, 2023}}
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