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Related Experiment Video

Updated: May 11, 2026

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

Web accessibility support for visually impaired users using link content analysis.

Hajime Iwata¹, Naofumi Kobayashi, Kenji Tachibana

¹Kanagawa Institute of Technology, 1030 Shimo-ogino, Atsugi-City, Kanagawa, Japan.

|May 14, 2013

Summary

This summary is machine-generated.

This study introduces a novel method for classifying web page links into 8 categories. This approach enhances content discovery and accessibility, particularly for visually impaired users relying on screen readers.

Keywords:

Accessibility Link classification Web page link

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Last Updated: May 11, 2026

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

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An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Published on: March 17, 2023

Area of Science:

Human-Computer Interaction
Web Accessibility
Information Science

Background:

Web pages serve diverse functions, but navigating them can be time-consuming for all users.
Visually impaired users face significant challenges accessing web content due to poor link text and alternative text descriptions.
Current web navigation methods often lack sufficient context for users, especially those with visual impairments.

Purpose of the Study:

To develop and evaluate a method for classifying web page links to improve content discovery.
To enhance the accessibility of web pages for visually impaired users by providing advance awareness of link content.
To establish a framework for evaluating the accessibility of web page link structures.

Main Methods:

Analysis of web page links based on 8 distinct categories.
Development of a classification system for link types.
Implementation of a method to provide users with advance information about link content.

Main Results:

The proposed method effectively categorizes web page links.
Visually impaired users can gain prior awareness of the content represented by links.
The classification system aids in identifying and overcoming accessibility barriers related to web links.

Conclusions:

The link classification method significantly supports content discovery on web pages.
This approach is effective in improving web accessibility for visually impaired users.
The method serves as a valuable tool for assessing the accessibility of web page link design.