Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2468356.2479521acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
short-paper

SPRWEB: preserving subjective responses to website colour schemes through automatic recolouring

Published: 27 April 2013 Publication History

Abstract

Colours are an important part of user experiences on the Web. Colour schemes influence not only the aesthetics, but also our first impressions and long-term engagement with websites (e.g., Figure 1 shows a 'warm' website colour scheme). However, five percent of people perceive a subset of all colours because they have colour vision deficiency (CVD), resulting in an unequal and presumably less-rich user experience on the Web (Figure 2). Traditionally, people with CVD have been supported by recolouring tools that improve colour differentiability, but do not consider the subjective properties of colour schemes while recolouring (Figure 3 shows Figure 1 after standard recolouring; it is now 'cool' instead of 'warm'). To address this, we developed SPRWeb, a tool that recolours websites to preserve subjective responses and improve colour differentiability - thus enabling users with CVD to have similar online experiences (Figure 4 shows Figure 1 recoloured using SPRWeb; it is once again 'warm'). To develop SPRWeb, we extended existing models of non-CVD subjective responses to people with CVD, then used this extended model to steer the recolouring process. In a lab study, we found that SPRWeb did significantly better than a standard recolouring tool at preserving the temperature and naturalness of websites, while achieving similar weight and differentiability preservation. We also found that recolouring did not preserve activity, and hypothesize that visual complexity influences activity more than colour. SPRWeb is the first tool to automatically preserve the subjective and perceptual properties of website colour schemes thereby equalizing the colour-based web experience for people with CVD.

Supplementary Material

suppl.mov (vid0250-file3.mp4)
Supplemental video

Cited By

View all
  • (2023)Correction of an Image for Colour Blindness Using the Fusion of Ishihara Filter and Histogram EqualizationThe 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 202310.1007/978-3-031-27762-7_28(294-304)Online publication date: 1-Mar-2023
  • (2019)30 Years LaterProceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3308561.3354612(584-590)Online publication date: 24-Oct-2019
  • (2016)Enabling Designers to Foresee Which Colors Users Cannot SeeProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858077(2693-2704)Online publication date: 7-May-2016

Index Terms

  1. SPRWEB: preserving subjective responses to website colour schemes through automatic recolouring

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
    April 2013
    3360 pages
    ISBN:9781450319522
    DOI:10.1145/2468356
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 April 2013

    Check for updates

    Author Tags

    1. automatic recolouring
    2. colour
    3. colour schemes
    4. colour vision deficiency
    5. subjective responses

    Qualifiers

    • Short-paper

    Conference

    CHI '13
    Sponsor:

    Acceptance Rates

    CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 06 Oct 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)Correction of an Image for Colour Blindness Using the Fusion of Ishihara Filter and Histogram EqualizationThe 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 202310.1007/978-3-031-27762-7_28(294-304)Online publication date: 1-Mar-2023
    • (2019)30 Years LaterProceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3308561.3354612(584-590)Online publication date: 24-Oct-2019
    • (2016)Enabling Designers to Foresee Which Colors Users Cannot SeeProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858077(2693-2704)Online publication date: 7-May-2016

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media