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Related Experiment Video

Updated: Sep 30, 2025

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading

Published on: October 18, 2018

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

This summary is machine-generated.

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.

Keywords:

Web accessibility personalization screen reader

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Last Updated: Sep 30, 2025

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Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension

Published on: January 10, 2014

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.