Article

An interface to support color blind computer users

Authors:

Luke Jefferson,

Richard HarveyAuthors Info & Claims

CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1535 - 1538

https://doi.org/10.1145/1240624.1240855

Published: 29 April 2007 Publication History

Get Access

Abstract

A new method for adapting digital images so that they are suitable for color blind viewers is presented. In contrast to earlier automatic methods which formulate the problem of adapting images for color blind observers as one of optimization, we demonstrate how it is possible to allow a user to compute a very wide range of adaptations in reasonable time under the control of a single variable. We demonstrate how the algorithm can be delivered as an adaptive technology via a simple interface, and evaluate the efficacy of our method using psychovisual experiments with simulated color blind users and a standard color vision test.

References

[1]

Randolph Blake and Robert Sekuler. Perception. McGraw Hill, 2006.

Google Scholar

[2]

Hans Brettel, Francçoise Viénot, and John D. Mollon. Computerized Simulation of Color Appearance for Dichromats. J. Opt. Soc. of Am. A, 14(10):2647--2655, 1997.

Crossref

Google Scholar

[3]

Disability Rights Commission. The Web: Access and Inclusion for Disabled People, 2004.

Google Scholar

[4]

D. H. Brainard. The Psychophysics Toolbox. Spatial Vision, pages 433--436, 1997.

Google Scholar

[5]

Shinobu Ishihara. The Series of Plates Designed as a Test for Colour-Blindness. KANEHARA & CO., LTD., Tokyo, Japan, 1994.

Google Scholar

[6]

Luke Jefferson and Richard Harvey. Accommodating Color Blind Computer Users. In ACM Assets 06, pages 40--47, 2006.

Digital Library

Google Scholar

[7]

Daniel McIntyre. Colour Blindness: Causes and Effects. Dalton Publishing, 2002.

Google Scholar

[8]

Gary W. Meyer and Donald P. Greenberg. Color-Defective Vision and Computer Graphics Displays. IEEE Computer Graphics and Applications, 8(5):28--40, 1988.

Digital Library

Google Scholar

[9]

Karl Rasche, Robert Geist, and James Westall. Detail Preserving Reproduction of Color Images for Monochromats and Dichromats. IEEE Computer Graphics and Applications, 25(3):22--30, 2005.

Digital Library

Google Scholar

[10]

Ken Wakita and Kenta Shimamura. SmartColor: Disambiguation Framework for the Colorblind. In ACM Assets 05, pages 158--165, 2005.

Digital Library

Google Scholar

Cited By

View all

Stevens HWinegar COakley APiccolo S(2024)Identifying images in the biology literature that are problematic for people with a color-vision deficiencyeLife10.7554/eLife.95524.313Online publication date: 11-Sep-2024
https://doi.org/10.7554/eLife.95524.3
Stevens HWinegar COakley APiccolo S(2024)Identifying images in the biology literature that are problematic for people with a color-vision deficiencyeLife10.7554/eLife.9552413Online publication date: 11-Sep-2024
https://doi.org/10.7554/eLife.95524
Zhu YChen EHascup CYan YSharma G(2024)Computational Trichromacy Reconstruction: Empowering the Color-Vision Deficient to Recognize Colors Using Augmented RealityProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676415(1-17)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676415
Show More Cited By

Index Terms

An interface to support color blind computer users
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces

Recommendations

Accommodating color blind computer users
Assets '06: Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility

Important visual information often disappears when color documents are viewed by color blind people. The algorithm introduced here maps colors using the World Wide Web Consortium evaluation criteria so that detail is preserved for color blind viewers, ...
Modifying Image Appearance to Improve Information Content for Color Blind Viewers
ICCUBEA '15: Proceedings of the 2015 International Conference on Computing Communication Control and Automation

Color blindness is the inability to distinguish the differences between the certain colors and this condition results from an absence of color-sensitive pigment in the cone cells of the retina. Persons with color-blindness face many problems in day ...
Color Conversion for Color Blindness Employing Multilayer Neural Network with Perceptual Model
Image and Video Technology
Abstract
In this paper, we propose a novel digital image color conversion algorithm for color blindness using a multilayer neural network. The symptoms of “color blindness” are due to an innate lack or deficit of cone cells that recognize colors, and ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2007

1654 pages

ISBN:9781595935939

DOI:10.1145/1240624

General Chair:
Mary Beth Rosson
The Pennsylvania State University, USA
,
Program Chair:
David Gilmore
Intel, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 April 2007

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

CHI07

Sponsor:

CHI07: CHI Conference on Human Factors in Computing Systems

April 28 - May 3, 2007

California, San Jose, USA

Acceptance Rates

CHI '07 Paper Acceptance Rate 182 of 840 submissions, 22%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

Upcoming Conference

CHI '25

Sponsor:
sigchi

CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

57
Total Citations
View Citations
2,149
Total Downloads

Downloads (Last 12 months)50
Downloads (Last 6 weeks)7

Reflects downloads up to 16 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Stevens HWinegar COakley APiccolo S(2024)Identifying images in the biology literature that are problematic for people with a color-vision deficiencyeLife10.7554/eLife.95524.313Online publication date: 11-Sep-2024
https://doi.org/10.7554/eLife.95524.3
Stevens HWinegar COakley APiccolo S(2024)Identifying images in the biology literature that are problematic for people with a color-vision deficiencyeLife10.7554/eLife.9552413Online publication date: 11-Sep-2024
https://doi.org/10.7554/eLife.95524
Zhu YChen EHascup CYan YSharma G(2024)Computational Trichromacy Reconstruction: Empowering the Color-Vision Deficient to Recognize Colors Using Augmented RealityProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676415(1-17)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676415
Schömbs SPareek SGoncalves JJohal W(2024)Robot-Assisted Decision-Making: Unveiling the Role of Uncertainty Visualisation and EmbodimentProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642911(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642911
Bao SYan X(2024)Lightness modification method considering chromaticity loss for dichromatsOptical Review10.1007/s10043-024-00870-y31:2(170-182)Online publication date: 11-Mar-2024
https://doi.org/10.1007/s10043-024-00870-y
Chen LZhu ZHuang WGo KChen XMao X(2024)Image recoloring for color vision deficiency compensation using Swin transformerNeural Computing and Applications10.1007/s00521-023-09367-236:11(6051-6066)Online publication date: 18-Jan-2024
https://doi.org/10.1007/s00521-023-09367-2
Geddes CFlatla DConnelly C(2023)30 Years of Solving the Wrong Problem: How Recolouring Tool Design Fails those with Colour Vision DeficiencyProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608407(1-13)Online publication date: 22-Oct-2023
https://dl.acm.org/doi/10.1145/3597638.3608407
Geddes C(2023)Designing Digital Content to Accommodate for Colour Vision DeficiencyExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3577047(1-5)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3577047
Zhuang HHuang TAcuna D(2023)A computational analysis of accessibility, readability, and explainability of figures in open access publicationsEPJ Data Science10.1140/epjds/s13688-023-00380-y12:1Online publication date: 2-Mar-2023
https://doi.org/10.1140/epjds/s13688-023-00380-y
Pottekat PGauri KKartekeyaan RSoni KPampattiwar K(2023)Outfit Recommendation System Based on Colour Compatibility to Assist Colour Blind Users—A SurveyProceedings of International Conference on Communication and Computational Technologies10.1007/978-981-99-3485-0_78(983-1001)Online publication date: 1-Sep-2023
https://doi.org/10.1007/978-981-99-3485-0_78
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Accommodating color blind computer users

Modifying Image Appearance to Improve Information Content for Color Blind Viewers

Color Conversion for Color Blindness Employing Multilayer Neural Network with Perceptual Model