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SSMRecolor: improving recoloring tools with situation-specific models of color differentiation

Published: 05 May 2012 Publication History

Abstract

Color is commonly used to convey information in digital environments, but colors can be difficult to distinguish for many users -- either because of a congenital color vision deficiency (CVD), or because of situation-induced CVDs such as wearing colored glasses or working in sunlight. Tools intended to improve color differentiability (recoloring tools) exist, but these all use abstract models of only a few types of congenital CVD; if the user's color problems have a different cause, existing recolorers can perform poorly. We have developed a recoloring tool (SSMRecolor) based on the idea of situation-specific modeling -- in which we build a performance-based model of a particular user in their specific environment, and use that model to drive the recoloring process. SSMRecolor covers a much wider range of CVDs, including acquired and situational deficiencies. We evaluated SSMRecolor and two existing tools in a controlled study of people's color-matching performance in several environmental conditions. The study included participants with and without congenital CVD. Our results show both accuracy and response time in color-matching tasks were significantly better with SSMRecolor. This work demonstrates the value of a situation-specific approach to recoloring, and shows that this technique can substantially improve the usability of color displays for users of all types.

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    cover image ACM Conferences
    CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    May 2012
    3276 pages
    ISBN:9781450310154
    DOI:10.1145/2207676
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    Published: 05 May 2012

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    Author Tags

    1. accessibility
    2. color
    3. color vision deficiency
    4. recoloring

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    • (2024)Situational visual impairments on mobile devices - modeling the effects of bright outdoor environmentsProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670959(1-10)Online publication date: 3-Jun-2024
    • (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
    • (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
    • (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
    • (2022)Challenging and Improving Current Evaluation Methods for Colour Identification AidsProceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3517428.3544818(1-12)Online publication date: 23-Oct-2022
    • (2022)Improving Colour Patterns to Assist People with Colour Vision DeficiencyProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502024(1-17)Online publication date: 29-Apr-2022
    • (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
    • (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
    • (2021)Image recoloring for color vision deficiency compensation: a surveyThe Visual Computer10.1007/s00371-021-02240-037:12(2999-3018)Online publication date: 14-Jul-2021
    • (2019)Recoloring Algorithms for Colorblind PeopleACM Computing Surveys10.1145/332911852:4(1-37)Online publication date: 30-Aug-2019
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