Multi-Browser Compatibility Evaluation of a CDN-Based Accessibility Plugin Following the WCAG 2.1 Standard
DOI:
https://doi.org/10.62123/enigma.v4i1.230Keywords:
Accessibility plugin, Cross-browser Compatibility, Text-to-speech, Voice command, WCAG 2.1Abstract
Website accessibility remains a barrier for users with visual and motor impairments, while modern sites keep adding interactive visual elements. This study develops a modular JavaScript accessibility plugin distributed through a Content Delivery Network, so that it can be attached to a site without altering the existing page structure. The plugin follows WCAG 2.1 and provides text-to-speech, voice command, display and text settings, magnifier, and keyboard navigation through a single control panel. A company profile website was used as the case study. Evaluation combined manual inspection using DevTools and a WCAG checklist with automated measurement using Lighthouse and DevTools Performance, followed by compatibility testing on Chrome, Firefox, Edge, and Brave. All features behaved as designed without JavaScript errors, and the performance score remained stable after activation, although features that change text spacing and page scale added rendering work. Display, text, and keyboard features ran consistently across the four browsers, whereas voice command failed on Firefox and Brave and behaved unstably on Edge because of differing speech recognition support. The results suggest that browser API dependency is the main limitation of overlay-based accessibility solutions. Findings are bounded by a single site, single run measurements, two rendering engines, and the absence of usability testing with users who have impairments.
Downloads
References
[1] S. Krug, Don’t Make Me Think: A Common Sense Approach to Web Usability, 3rd ed. Berkeley, CA, USA: New Riders, 2014.
[2] J. Nielsen, Usability Engineering. San Francisco, CA, USA: Morgan Kaufmann, 1994.
[3] S. Choudhary, H. Versee, and A. Orso, “Automated cross-browser compatibility testing,” in Proc. IEEE Int. Conf. Software Testing, Verification and Validation, Paris, France, 2010.
[4] F. A. Santos and R. P. Mello, “A systematic literature review on cross-browser testing,” Journal of Software Engineering Research and Development, vol. 9, pp. 1–14, 2021.
[5] World Wide Web Consortium (W3C), “Web Content Accessibility Guidelines (WCAG) 2.1,” Jun. 2018. [Online]. Available: https://www.w3.org/TR/WCAG21/
[6] Google Developers, “Lighthouse documentation,” 2024. [Online]. Available: https://developer.chrome.com/docs/lighthouse/
[7] Google Chrome Developers, “Chrome DevTools documentation,” 2024. [Online]. Available: https://developer.chrome.com/docs/devtools/
[8] M. Silva and T. Oliveira, “Digital accessibility in virtual learning environments,” EaD em Foco, vol. 13, pp. 1–15, 2023.
[9] World Wide Web Consortium (W3C), “Accessible Rich Internet Applications (WAI-ARIA) 1.2,” Jun. 2023. [Online]. Available: https://www.w3.org/TR/wai-aria-1.2/
[10] Mozilla Developer Network (MDN), “Web Speech API,” 2024. [Online]. Available: https://developer.mozilla.org/en-US/docs/Web/API/Web_Speech_API
[11] A. R. Ismail and R. Kurniawan, “Accessibility evaluation of university websites using WCAG 2.1 guidelines,” Journal of Information Systems and Technology, vol. 7, no. 2, pp. 101–110, 2022.
[12] M. A. Rahman and S. Hossain, “Evaluation of academic website accessibility for users with disabilities,” International Journal of Computer Science, vol. 18, no. 4, pp. 233–241, 2021.
[13] D. Rajapakse and P. Brereton, “Comparing WCAG tools for accessibility evaluation of websites,” International Journal of Human Computer Studies, vol. 152, pp. 102–118, 2021.
[14] R. S. Pressman and B. R. Maxim, Software Engineering: A Practitioner’s Approach, 9th ed. New York, NY, USA: McGraw-Hill Education, 2019.
[15] U. Singh, J. Divya Venkatesh, A. Muraleedharan, K. S. Saluja, A. J. H., and P. Biswas, “Accessibility analysis of educational websites using WCAG 2.0,” Digital Government: Research and Practice, vol. 5, no. 3, art. 32, pp. 1–28, 2024, doi: 10.1145/3696318.
[16] S. Dash, “AI-powered real-time accessibility enhancement: a solution for web content accessibility issues,” Jurnal Online Informatika, vol. 9, no. 1, pp. 80–88, 2024, doi: 10.15575/join.v9i1.1310.
[17] G. Vera-Amaro and J. R. Rojano-Cáceres, “Towards accessible website design through artificial intelligence: a systematic literature review,” Information and Software Technology, vol. 186, art. 107821, 2025, doi: 10.1016/j.infsof.2025.107821.
[18] A. Sarioğlu, H. Metin, and D. Bork, “Accessibility in conceptual modeling: a systematic literature review, a keyboard-only UML modeling tool, and a research roadmap,” Data and Knowledge Engineering, vol. 158, art. 102423, 2025, doi: 10.1016/j.datak.2025.102423.
[19] F. E. Sandnes, “To wrap or not to wrap? A study of how long words are split when reflowed on magnified web pages,” Universal Access in the Information Society, vol. 24, no. 1, pp. 435–447, 2023, doi: 10.1007/s10209-023-01066-y.
[20] W. M. Watanabe, D. dos Santos, and C. de Oliveira, “Layout cross-browser failure classification for mobile responsive design web applications: combining classification models using feature selection,” ACM Transactions on the Web, vol. 17, no. 4, pp. 1–34, 2023, doi: 10.1145/3580518.
[21] M. Miao, H. A. Pham, J. Friebe, and G. Weber, “Contrasting usability evaluation methods with blind users,” Universal Access in the Information Society, vol. 15, no. 1, pp. 63–76, 2016, doi: 10.1007/s10209-014-0378-8.
[22] N. Menzi-Çetin, E. Alemdağ, H. Tüzün, and M. Yıldız, “Evaluation of a university website’s usability for visually impaired students,” Universal Access in the Information Society, vol. 16, no. 1, pp. 151–160, 2017, doi: 10.1007/s10209-015-0430-3.
[23] J. Shree DV and P. Biswas, “Comparing ten WCAG tools for accessibility evaluation of websites,” Technology and Disability, vol. 33, no. 3, pp. 163–185, 2021, doi: 10.3233/TAD-210329.
[24] W. Reuschel, M. McDonnall, and D. Burton, “The accessibility and usability of online job applications for screen reader users,” Journal of Visual Impairment and Blindness, vol. 117, no. 6, pp. 479–490, 2023, doi: 10.1177/0145482X231216757.
[25] K. Chemnad and A. Othman, “Digital accessibility in the era of artificial intelligence: bibliometric analysis and systematic review,” Frontiers in Artificial Intelligence, vol. 7, art. 1349668, 2024, doi: 10.3389/frai.2024.1349668.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Jonathan Arya Wibowo, Muharman Lubis, Rio Guntur Utomo, Aryo Pradipta Ramadhan, Amanda Bunga Gracia, Septiana Yustika Widyaningrum

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










