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Title:Primerjalna analiza pristopov za ocenjevanje dostopnosti spletnih strani
Authors:ID Podjavršek, Lara (Author)
ID Kous, Katja (Mentor) More about this mentor... New window
ID Brdnik, Saša (Comentor)
Files:.pdf VS_Podjavrsek_Lara_2026.pdf (34,72 MB)
MD5: DD847C6B93E69B30D502AFF0966F76C2
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu primerjamo različne pristope za ocenjevanje dostopnosti spletnih strani na primeru domače strani Univerze v Mariboru. V teoretičnem delu smo predstavili spletno dostopnost, smernice WCAG, podporne tehnologije in metode ocenjevanja. V praktičnem delu smo dostopnost preverili z ročnim testiranjem, avtomatskim orodjem WAVE ter generativnima orodjema ChatGPT in Claude. Rezultate smo med seboj primerjali ter predstavili njihove prednosti in omejitve. Ugotovili smo, da je za ocenjevanje spletne dostopnosti najbolj primerna kombinacija ročnega in avtomatskega testiranja, generativna orodja pa lahko služijo kot dodatna pomoč. Na podlagi ugotovitev smo v Figmi pripravili tudi predlog za prenovo uporabniškega vmesnika.
Keywords:spletna dostopnost, WCAG, ročno testiranje, avtomatsko testiranje, generativna umetna inteligenca
Place of publishing:Maribor
Year of publishing:2026
PID:20.500.12556/DKUM-99693 New window
Publication date in DKUM:24.09.2026
Views:131
Downloads:6
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:24.08.2026

Secondary language

Language:English
Title:Comparative analysis of approaches for assessing website accessibility
Abstract:In this thesis, we compare different approaches to evaluating web accessibility using the homepage of the University of Maribor as a case study. In the theoretical part, we present web accessibility, the WCAG guidelines, assistive technologies and evaluation methods. In the practical part, we evaluated accessibility using manual testing, the automated WAVE tool and generative AI tools ChatGPT and Claude. We compared the results and presented the advantages and limitations of each approach. We found that the most suitable approach to evaluating web accessibility is a combination of manual and automated testing, while generative AI tools serve as additional support. Based on the findings, we also prepared a proposal for redesigning the user interface in Figma.
Keywords:web accessibility, WCAG, manual testing, automated testing, generative artificial intelligence


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