research-article

Adapting palettes to color vision deficiencies by genetic algorithm

Authors:

Cosimo Birtolo,

Maria MirandaAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1065 - 1072

https://doi.org/10.1145/1389095.1389291

Published: 12 July 2008 Publication History

Abstract

In choosing a color palette, it is necessary to take into the account the needs of color vision impaired users, in order to make information and services accessible to a broader audience. This means to search the space of color palettes aimed to find a color combination representing a good trade-off between aesthetics and accessibility requirements. In this paper, we present a solution based on genetic algorithms. Experimental results highlight this approach to be an efficient but effective way to assist UI designers by suggesting appropriate variations of color palettes.

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Cited By

Sutton JLanglotz TPlopski A(2022)Seeing Colours: Addressing Colour Vision Deficiency with Vision Augmentations using Computational GlassesACM Transactions on Computer-Human Interaction10.1145/348689929:3(1-53)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3486899
Zeboudj MBelkadi K(2022)Designing a Web Accessibility Environment for the Visually Impaired2022 3rd International Conference on Embedded & Distributed Systems (EDiS)10.1109/EDiS57230.2022.9996542(154-157)Online publication date: 2-Nov-2022
https://doi.org/10.1109/EDiS57230.2022.9996542
Sandnes F(2021)Inverse Color Contrast Checker: Automatically Suggesting Color Adjustments that meet Contrast Requirements on the WebProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3476529(1-4)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3441852.3476529
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Index Terms

Adapting palettes to color vision deficiencies by genetic algorithm

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The color vision deficiency, popularly called daltonism or color-blindness, manifests with limited color discrimination ranging from slightly reduced to complete loss of color. The accessibility of color-coded digital information is still an ...
Aesthetic Rating and Color Suggestion for Color Palettes

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Published In

cover image ACM Conferences

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Copyright © 2008 ACM.

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]

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Publication History

Published: 12 July 2008

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GECCO08

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

Sutton JLanglotz TPlopski A(2022)Seeing Colours: Addressing Colour Vision Deficiency with Vision Augmentations using Computational GlassesACM Transactions on Computer-Human Interaction10.1145/348689929:3(1-53)Online publication date: 14-Jan-2022
https://dl.acm.org/doi/10.1145/3486899
Zeboudj MBelkadi K(2022)Designing a Web Accessibility Environment for the Visually Impaired2022 3rd International Conference on Embedded & Distributed Systems (EDiS)10.1109/EDiS57230.2022.9996542(154-157)Online publication date: 2-Nov-2022
https://doi.org/10.1109/EDiS57230.2022.9996542
Sandnes F(2021)Inverse Color Contrast Checker: Automatically Suggesting Color Adjustments that meet Contrast Requirements on the WebProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3476529(1-4)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3441852.3476529
Bonacin RReis Jde Araujo R(2021)An ontology-based framework for improving color vision deficiency accessibilityUniversal Access in the Information Society10.1007/s10209-021-00791-621:3(691-716)Online publication date: 29-Jan-2021
https://doi.org/10.1007/s10209-021-00791-6
Shen XFeng JZhang X(2020)A content‐dependent Daltonization algorithm for colour vision deficiencies based on lightness and chroma informationIET Image Processing10.1049/ipr2.1207915:4(983-996)Online publication date: 30-Dec-2020
https://doi.org/10.1049/ipr2.12079
Ribeiro MGomes A(2019)Recoloring Algorithms for Colorblind PeopleACM Computing Surveys10.1145/332911852:4(1-37)Online publication date: 30-Aug-2019
https://dl.acm.org/doi/10.1145/3329118
Hansen FKrivan JSandnes FBigham JAzenkot SKane S(2019)Still Not Readable? An Interactive Tool for Recommending Color Pairs with Sufficient Contrast based on Existing Visual DesignsProceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3308561.3354585(636-638)Online publication date: 24-Oct-2019
https://dl.acm.org/doi/10.1145/3308561.3354585
Shamoi PInoue AKawanaka H(2019)Modeling Aesthetic Preferences: Color Coordination and Fuzzy SetsFuzzy Sets and Systems10.1016/j.fss.2019.02.014Online publication date: Mar-2019
https://doi.org/10.1016/j.fss.2019.02.014
Brathovde KFarner MBrun FSandnes F(2019)Effectiveness of Color-Picking Interfaces Among Non-designersCooperative Design, Visualization, and Engineering10.1007/978-3-030-30949-7_21(181-189)Online publication date: 1-Oct-2019
https://doi.org/10.1007/978-3-030-30949-7_21
de Araújo RDos Reis JBonacin R(2018)Understanding interface recoloring aspects by colorblind people: a user studyUniversal Access in the Information Society10.1007/s10209-018-0631-7Online publication date: 14-Aug-2018
https://doi.org/10.1007/s10209-018-0631-7
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