Analysis of automated contrast checking tools

Rafael Almeida; Carlos Duarte

doi:10.1145/3371300.3383348

Analysis of automated contrast checking tools

Rafael Almeida, Carlos Duarte

Marine Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Creating web pages with information that is perceivable has to be a priority concern in their development. One of the main factors impacting the ability to read text in web pages is the contrast between the text's foreground and background colors. A number of automated tools have emerged to help web page designers create pages that abide by the minimum contrast requirements, established in the Web Content Accessibility Guidelines. We studied a subset of these tools to understand their current limitations. To help us achieve this goal we created a set of test cases exploring the different ways in which foreground and background colors can be mixed in web pages. We found that current tools can assist in detecting poor contrast in web pages, but have a clear limitation when evaluating text over images and text inside images.

Original language	English (US)
Title of host publication	Proceedings of the 17th International Web for All Conference, W4A 2020
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450370561
DOIs	https://doi.org/10.1145/3371300.3383348
State	Published - Apr 20 2020
Event	17th International Web for All Conference, W4A 2020 - Taipei, Taiwan, Province of China Duration: Apr 20 2020 → Apr 21 2020

Publication series

Name	Proceedings of the 17th International Web for All Conference, W4A 2020

Conference

Conference	17th International Web for All Conference, W4A 2020
Country/Territory	Taiwan, Province of China
City	Taipei
Period	04/20/20 → 04/21/20

Bibliographical note

Publisher Copyright:
© 2020 Owner/Author.

Keywords

accessibility
automated evaluation
color contrast
text

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1145/3371300.3383348

Cite this

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title = "Analysis of automated contrast checking tools",

abstract = "Creating web pages with information that is perceivable has to be a priority concern in their development. One of the main factors impacting the ability to read text in web pages is the contrast between the text's foreground and background colors. A number of automated tools have emerged to help web page designers create pages that abide by the minimum contrast requirements, established in the Web Content Accessibility Guidelines. We studied a subset of these tools to understand their current limitations. To help us achieve this goal we created a set of test cases exploring the different ways in which foreground and background colors can be mixed in web pages. We found that current tools can assist in detecting poor contrast in web pages, but have a clear limitation when evaluating text over images and text inside images.",

keywords = "accessibility, automated evaluation, color contrast, text",

author = "Rafael Almeida and Carlos Duarte",

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day = "20",

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language = "English (US)",

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Almeida, R & Duarte, C 2020, Analysis of automated contrast checking tools. in Proceedings of the 17th International Web for All Conference, W4A 2020. Proceedings of the 17th International Web for All Conference, W4A 2020, Association for Computing Machinery, Inc, 17th International Web for All Conference, W4A 2020, Taipei, Taiwan, Province of China, 04/20/20. https://doi.org/10.1145/3371300.3383348

Analysis of automated contrast checking tools. / Almeida, Rafael; Duarte, Carlos.
Proceedings of the 17th International Web for All Conference, W4A 2020. Association for Computing Machinery, Inc, 2020. (Proceedings of the 17th International Web for All Conference, W4A 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of automated contrast checking tools

AU - Almeida, Rafael

AU - Duarte, Carlos

PY - 2020/4/20

Y1 - 2020/4/20

N2 - Creating web pages with information that is perceivable has to be a priority concern in their development. One of the main factors impacting the ability to read text in web pages is the contrast between the text's foreground and background colors. A number of automated tools have emerged to help web page designers create pages that abide by the minimum contrast requirements, established in the Web Content Accessibility Guidelines. We studied a subset of these tools to understand their current limitations. To help us achieve this goal we created a set of test cases exploring the different ways in which foreground and background colors can be mixed in web pages. We found that current tools can assist in detecting poor contrast in web pages, but have a clear limitation when evaluating text over images and text inside images.

AB - Creating web pages with information that is perceivable has to be a priority concern in their development. One of the main factors impacting the ability to read text in web pages is the contrast between the text's foreground and background colors. A number of automated tools have emerged to help web page designers create pages that abide by the minimum contrast requirements, established in the Web Content Accessibility Guidelines. We studied a subset of these tools to understand their current limitations. To help us achieve this goal we created a set of test cases exploring the different ways in which foreground and background colors can be mixed in web pages. We found that current tools can assist in detecting poor contrast in web pages, but have a clear limitation when evaluating text over images and text inside images.

KW - accessibility

KW - automated evaluation

KW - color contrast

KW - text

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M3 - Conference contribution

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T3 - Proceedings of the 17th International Web for All Conference, W4A 2020

BT - Proceedings of the 17th International Web for All Conference, W4A 2020

PB - Association for Computing Machinery, Inc

T2 - 17th International Web for All Conference, W4A 2020

Y2 - 20 April 2020 through 21 April 2020

ER -

Analysis of automated contrast checking tools

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this