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ThinkMind // WEB 2014, The Second International Conference on Building and Exploring Web Based Environments // View article web_2014_2_40_40050


Web Page Personalization to Improve e-accessibility for Visually Impaired People

Authors:
Yoann Bonavero
Marianne Huchard
Michel Meynard

Keywords: Web page personalization, visually impaired, evolutionary algorithm

Abstract:
Today’s assistive technologies aim to improve the quality of information acquisition for visually impaired persons. Screen readers and screen magnifiers are the main visual assis- tive technologies that are currently proposed. However, due to economical reasons, these technologies do not consider specific needs of visually impaired people. In this paper, we propose an approach to make Web pages more accessible for users who have specific needs. User wishes, like text color, font size, link color or even more complex wishes including wishes about brightness or contrast are encoded as user preferences. We also encode designer graphical choices as designer preferences. From these preferences, a new Web page design is computed using a resolution algorithm. We compare two distinct approaches to make this computation: resolution algorithms from preference theory domain and an evolutionary algorithm. The comparison evaluates running time on automatically generated data and on the sign in Facebook page.

Pages: 40 to 45

Copyright: Copyright (c) IARIA, 2014

Publication date: April 20, 2014

Published in: conference

ISSN: 2308-4421

ISBN: 978-1-61208-333-9

Location: Chamonix, France

Dates: from April 20, 2014 to April 24, 2014

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