arXiv:2607.03100v1 Announce Type: cross Abstract: Modern web applications increasingly expose accessibility barriers through interaction flows rather than static page snapshots. Keyboard traps, focus loss, modal leakage, delayed status updates, dynamic controls, and changing page regions often become observable only after users perform concrete actions. These behaviors are directly related to dynamic WCAG criteria, yet they remain difficult to automate because their assessment depends on runtime interaction evidence and is still commonly performed through manual inspection. We present Flow-A11
The increasing complexity of web applications, especially with dynamic content and interactions, makes traditional static accessibility testing insufficient, necessitating new approaches capable of analyzing user flows.
Ensuring accessibility for modern web applications is crucial for regulatory compliance, market reach, and ethical design, making automated tools that capture dynamic behaviors highly valuable for businesses and developers.
The development of Flow-A11y shifts accessibility testing from static page assessments to dynamic interaction flow analysis, automating the detection of complex accessibility barriers that were previously difficult to identify.
- · Accessibility tool developers
- · Web Developers
- · Users with disabilities
- · Digital service providers
- · Companies neglecting accessibility
- · Manual accessibility testing firms
More accessible web applications will emerge due to improved automated testing capabilities.
This will lead to broader digital inclusion, reduced legal risks for companies, and potentially new industry standards for dynamic accessibility testing.
The methodology could extend to other complex human-computer interactions, improving usability beyond just accessibility concerns and fostering more adaptive AI-driven interfaces.
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Read at arXiv cs.AI