July 2019
Volume 19, Issue 8
Open Access
OSA Fall Vision Meeting Abstract  |   July 2019
Tablet-based app for screening for CVD in young children
Author Affiliations
  • Jenny Bosten
    University of Sussex
  • Leticia Álvaro
    La Universidad Complutense de Madrid
  • James Alvarez
    University of Sussex
  • Brenda Meyer
    University of Sussex
  • Teresa Tang
    University of Sussex
  • John Maule
    University of Sussex
  • Anna Franklin
    University of Sussex
Journal of Vision July 2019, Vol.19, 71. doi:https://doi.org/10.1167/19.8.71
  • Views
  • Share
  • Tools
    • Alerts
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Jenny Bosten, Leticia Álvaro, James Alvarez, Brenda Meyer, Teresa Tang, John Maule, Anna Franklin; Tablet-based app for screening for CVD in young children. Journal of Vision 2019;19(8):71. https://doi.org/10.1167/19.8.71.

      Download citation file:

      © ARVO (1962-2015); The Authors (2016-present)

  • Supplements

There currently is no widely available and accurate test for diagnosing colour vision deficiency (CVD) in pre-literate children, yet young children with CVD may be particularly disadvantaged by widespread use of colour in early learning environments. We present a new tablet-based app that is aimed as a tool for screening for CVD in children aged 2–6. The app measures chromatic thresholds along protan, deutan and tritan confusion lines using an adaptive staircase procedure. Targets are coloured discs presented on a grey surround, with both luminance and tritan noise included to increase sensitivity. The test is embedded in a child-friendly interface ‘game’ where children reveal characters by correctly selecting the coloured targets. We are able to achieve accurate colour calibration on Apple iPads, with errors along the MacLeod-Boynton L/(L+M) axis under 0.5% and maximum tritan errors of 3% (which are masked by the tritan noise). We present data from a population of 4–7 year old children that shows how the app performs in comparison to existing paper-based tests for CVD.


This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.