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Semantic Table-of-Contents for Efficient Web Screen Reading
Javedul Ferdous1, Sami Uddin1, Vikas Ashok1
1Old Dominion University, Norfolk, Virginia.
Proceedings of the ... Symposium on Applied Computing. Symposium on Applied Computing
|March 10, 2022
Summary
Screen-reader users face navigation challenges on webpages. The sTag browser extension allows users to create custom Tables of Contents (TOCs) for efficient web navigation.
Area of Science:
- Human-Computer Interaction
- Web Accessibility
- Assistive Technology
Background:
- Webpage navigation is difficult for blind screen-reader users due to serial content access and inconsistent use of accessibility features.
- Current solutions offer generic approaches, failing to meet individual user needs for efficient web navigation.
Purpose of the Study:
- To introduce sTag, a novel browser extension designed to enhance web navigation for screen-reader users.
- To enable users to create personalized Tables of Contents (TOCs) for improved content accessibility.
Main Methods:
- sTag employs a semi-automatic tagging method, allowing users to mark meaningful webpage segments.
- Generated TOCs are accessible via shortcuts, enabling quick access to tagged content.
- Tags are linked to semantic segments, allowing automatic TOC generation for similar webpages.
Main Results:
- sTag significantly reduces content navigation time and effort for blind screen-reader users.
- User evaluation demonstrated the effectiveness of sTag compared to existing solutions.
- The system allows for personalized and efficient web content discovery.
Conclusions:
- sTag offers a user-centric solution to improve web navigation for visually impaired individuals.
- The approach of tagging semantic segments overcomes limitations of DOM-node-specific tagging.
- sTag represents a significant advancement in assistive technology for web accessibility.
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