Accessibility Remediation System for Non-Compliant Web Pages
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Solution Overview
Problem
Existing assistive technologies, such as screen readers and voice command systems, are limited in their ability to remediate websites that do not comply with industry standards like WCAG 2.0, leading to inadequate accessibility for users with diverse abilities.
Innovation Solution
A system and method for programmatically creating and deploying remediation code to non-compliant web pages, using a machine learning platform to identify and apply remediations based on past history, DOM structure, and accessibility test results, along with a voice command platform for enhanced user interaction and accessibility monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If screen readers and voice command systems are used to improve accessibility, then users with diverse abilities can access web content, but the systems fail to effectively remediate non-compliant websites that do not follow WCAG 2.0 standards
Solution Approach 1:
The patent introduces an intermediary accessibility remediation system that sits between the assistive technology and non-compliant websites. This mediator automatically analyzes website code, identifies WCAG violations, and applies remediation code to make sites accessible without requiring the site owner's direct intervention or the user's manual workarounds.
Solution Approach 2:
The remediation system performs self-service by automatically detecting accessibility issues and applying fixes without human intervention. The system crawls websites, analyzes their structure, identifies compliance gaps, and autonomously generates and deploys remediation code, eliminating the need for manual auditing and correction.
2Reliability
If manual remediation of web accessibility issues is performed, then compliance with WCAG 2.0 can be achieved, but the process is time-consuming and resource-intensive
Solution Approach 1:
The system performs preliminary action by proactively crawling and analyzing websites before users encounter accessibility issues. It pre-identifies compliance gaps and automatically applies remediation code in advance, so that when users access the site, the accessibility improvements are already in place without requiring real-time manual intervention.
Solution Approach 2:
The patent employs automated algorithms and machine learning models that accelerate the remediation process dramatically. The system can analyze and remediate entire websites in minutes rather than the months or years required for manual auditing and correction, effectively 'accelerating' the compliance achievement process through computational power.
3Measurement precision
If comprehensive accessibility testing is conducted on all web pages, then compliance issues can be identified, but the scanning and analysis process becomes increasingly complex and resource-heavy
Solution Approach 1:
The patent segments the accessibility testing process into distinct modular components: a crawling module that discovers pages, an analysis module that evaluates WCAG compliance, and a remediation module that applies fixes. Each component handles a specific aspect of the process, making the overall system more manageable and scalable while maintaining comprehensive coverage.
Solution Approach 2:
The remediation system is designed as a universal multi-functional platform that can handle various types of accessibility issues (visual, auditory, motor, cognitive) across different website technologies (HTML, JavaScript, PDFs, videos). A single system performs multiple functions including crawling, analyzing, remediating, and verifying compliance across diverse web content types.
Data Source
AI summary
Systems and methods are disclosed for manually and programmatically remediating websites to thereby facilitate website navigation by people with diverse abilities. For example, an administrator portal is provided for simplified, form-based creation and deployment of remediation code, and a machine learning system is utilized to create and suggest remediations based on past remediation history. Voice command systems and portable document format (PDF) remediation techniques are also provided for improving the accessibility of such websites.