research-article

Individual models of color differentiation to improve interpretability of information visualization

Authors:

David R. Flatla,

Carl GutwinAuthors Info & Claims

CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2563 - 2572

https://doi.org/10.1145/1753326.1753715

Published: 10 April 2010 Publication History

Abstract

Color is commonly used to represent categories and values in many computer applications, but differentiating these colors can be difficult in many situations (e.g., for users with color vision deficiency (CVD), or in bright light). Current solutions to this problem can adapt colors based on standard simulations of CVD, but these models cover only a fraction of the ways in which color perception can vary. To improve the specificity and accuracy of these approaches, we have developed the first ever individualized model of color differentiation (ICD). The model is based on a short calibration performed by a particular user for a particular display, and so automatically covers all aspects of the user's ability to see and differentiate colors in an environment. In this paper we introduce the new model and the manner in which differentiability limits are predicted. We gathered empirical data from 16 users to assess the model's accuracy and robustness. We found that the model is highly effective at capturing individual differentiation abilities, works for users with and without CVD, can be tuned to balance accuracy and color availability, and can serve as the basis for improved color adaptation schemes.

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Cited By

Angerbauer KRodrigues NCutura RÖney SPathmanathan NMorariu CWeiskopf DSedlmair M(2022)Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper FiguresProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502133(1-23)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502133
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
Gabbard JSmith MMerenda CBurnett GLarge D(2022)A Perceptual Color-Matching Method for Examining Color Blending in Augmented Reality Head-Up Display GraphicsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.304471528:8(2834-2851)Online publication date: 1-Aug-2022
https://doi.org/10.1109/TVCG.2020.3044715
Show More Cited By

Index Terms

Individual models of color differentiation to improve interpretability of information visualization
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens
  2. Interaction design
2. Social and professional topics
  1. Professional topics
    1. Computing profession
      1. Assistive technologies
  2. User characteristics
    1. People with disabilities

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Published In

cover image ACM Conferences

CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2010

2690 pages

ISBN:9781605589299

DOI:10.1145/1753326

General Chair:
Elizabeth Mynatt
Georgia Institute of Technology
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Scott Hudson
Carnegie Mellon University
,
Keith Edwards
Georgia Tech
,
Tom Rodden
University of Nottingham

Copyright © 2010 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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Published: 10 April 2010

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CHI '10: CHI Conference on Human Factors in Computing Systems

April 10 - 15, 2010

Georgia, Atlanta, USA

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Cited By

Angerbauer KRodrigues NCutura RÖney SPathmanathan NMorariu CWeiskopf DSedlmair M(2022)Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper FiguresProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502133(1-23)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502133
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
Gabbard JSmith MMerenda CBurnett GLarge D(2022)A Perceptual Color-Matching Method for Examining Color Blending in Augmented Reality Head-Up Display GraphicsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.304471528:8(2834-2851)Online publication date: 1-Aug-2022
https://doi.org/10.1109/TVCG.2020.3044715
Paiva ISiqueira SFerreira SMonteiro Ida Hora Rodrigues Kde Gois Ribeiro Darin TFreire AMota M(2021)The Windows 10's Color Filter Feature as an Aid for Color Blind People in the Use of WebsitesProceedings of the XX Brazilian Symposium on Human Factors in Computing Systems10.1145/3472301.3484341(1-11)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3472301.3484341
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
Li JFeng XFan H(2020)Saliency-based image correction for colorblind patientsComputational Visual Media10.1007/s41095-020-0172-x6:2(169-189)Online publication date: 10-Jun-2020
https://doi.org/10.1007/s41095-020-0172-x
Tigwell GSarsenbayeva ZGorman BFlatla DGoncalves JYesilada YWobbrock JBrewster SFitzpatrick GCox AKostakos V(2019)Addressing the Challenges of Situationally-Induced Impairments and Disabilities in Mobile InteractionExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3299029(1-8)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3299029
Wobbrock J(2019)Situationally-Induced Impairments and DisabilitiesWeb Accessibility10.1007/978-1-4471-7440-0_5(59-92)Online publication date: 4-Jun-2019
https://doi.org/10.1007/978-1-4471-7440-0_5
Kamikubo RHiguchi KYonetani RKoike HSato Y(2018)Exploring the Role of Tunnel Vision Simulation in the Design Cycle of Accessible InterfacesProceedings of the 15th International Web for All Conference10.1145/3192714.3192822(1-10)Online publication date: 23-Apr-2018
https://dl.acm.org/doi/10.1145/3192714.3192822
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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