Automated Detection of Web Application Navigation Barriers for Screen Reader Users
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| izdano v: | ProQuest Dissertations and Theses (2025) |
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ProQuest Dissertations & Theses
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| Online dostop: | Citation/Abstract Full Text - PDF |
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| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Jain, Shubhi | |
| 245 | 1 | |a Automated Detection of Web Application Navigation Barriers for Screen Reader Users | |
| 260 | |b ProQuest Dissertations & Theses |c 2025 | ||
| 513 | |a Dissertation/Thesis | ||
| 520 | 3 | |a An estimated 43.3 million people worldwide live with blindness and rely on screen readers (SRs) to access the web. To support accessible development, software teams often rely on automated tools like WAVE and Lighthouse to detect accessibility issues. However, these tools primarily rely on static rule-based analysis and are largely limited to detecting labeling errors relevant to screen reader users. They fail to capture dynamic accessibility issues—whether user interface (UI) elements can be located and activated using a screen reader, that is essential for accessing core webpage functionality. To address this gap, we present A11yNavigator, an automated accessibility testing tool that simulates screen reader navigation to detect UI elements that cannot be either (1) located or (2) interacted with using the screen reader. A11yNavigator leverages NVDA, one of the most widely used screen readers, and supports three common navigation strategies: Tab key, Arrow keys, and Quick Navigation keys. We evaluate A11yNavigator across 26 real-world websites and demonstrate its effectiveness in uncovering issues missed by existing tools. Our results highlight its high precision and recall in detecting barriers that go beyond static analysis. | |
| 653 | |a Computer science | ||
| 653 | |a Computer engineering | ||
| 653 | |a Information technology | ||
| 773 | 0 | |t ProQuest Dissertations and Theses |g (2025) | |
| 786 | 0 | |d ProQuest |t ProQuest Dissertations & Theses Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3228564277/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3228564277/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |