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ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children
There is a need for a straightforward, accessible and accurate pediatric test for color vision deficiency (CVD). We present and evaluate ColourSpot, a self-administered, gamified and color calibrated tablet-based app, which diagnoses CVD from age 4. Children tap colored targets with saturations that...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170621/ https://www.ncbi.nlm.nih.gov/pubmed/34463952 http://dx.doi.org/10.3758/s13428-021-01622-5 |
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author | Tang, Teresa Álvaro, Leticia Alvarez, James Maule, John Skelton, Alice Franklin, Anna Bosten, Jenny |
author_facet | Tang, Teresa Álvaro, Leticia Alvarez, James Maule, John Skelton, Alice Franklin, Anna Bosten, Jenny |
author_sort | Tang, Teresa |
collection | PubMed |
description | There is a need for a straightforward, accessible and accurate pediatric test for color vision deficiency (CVD). We present and evaluate ColourSpot, a self-administered, gamified and color calibrated tablet-based app, which diagnoses CVD from age 4. Children tap colored targets with saturations that are altered adaptively along the three dichromatic confusion lines. Two cohorts (Total, N = 772; Discovery, N = 236; Validation, N = 536) of 4–7-year-old boys were screened using the Ishihara test for Unlettered Persons and the Neitz Test of Color Vision. ColourSpot was evaluated by testing any child who made an error on the Ishihara Unlettered test alongside a randomly selected control group who made no errors. Psychometric functions were fit to the data and “threshold ratios” were calculated as the ratio of tritan to protan or deutan thresholds. Based on the threshold ratios derived using an optimal fitting procedure that best categorized children in the discovery cohort, ColourSpot showed a sensitivity of 1.00 and a specificity of 0.97 for classifying CVD against the Ishihara Unlettered in the independent validation cohort. ColourSpot was also able to categorize individuals with ambiguous results on the Ishihara Unlettered. Compared to the Ishihara Unlettered, the Neitz Test generated an unacceptably high level of false positives. ColourSpot is an accurate test for CVD, which could be used by anyone to diagnose CVD in children from the start of their education. ColourSpot could also have a wider impact: its interface could be adapted for measuring other aspects of children’s visual performance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13428-021-01622-5. |
format | Online Article Text |
id | pubmed-9170621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-91706212022-06-08 ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children Tang, Teresa Álvaro, Leticia Alvarez, James Maule, John Skelton, Alice Franklin, Anna Bosten, Jenny Behav Res Methods Article There is a need for a straightforward, accessible and accurate pediatric test for color vision deficiency (CVD). We present and evaluate ColourSpot, a self-administered, gamified and color calibrated tablet-based app, which diagnoses CVD from age 4. Children tap colored targets with saturations that are altered adaptively along the three dichromatic confusion lines. Two cohorts (Total, N = 772; Discovery, N = 236; Validation, N = 536) of 4–7-year-old boys were screened using the Ishihara test for Unlettered Persons and the Neitz Test of Color Vision. ColourSpot was evaluated by testing any child who made an error on the Ishihara Unlettered test alongside a randomly selected control group who made no errors. Psychometric functions were fit to the data and “threshold ratios” were calculated as the ratio of tritan to protan or deutan thresholds. Based on the threshold ratios derived using an optimal fitting procedure that best categorized children in the discovery cohort, ColourSpot showed a sensitivity of 1.00 and a specificity of 0.97 for classifying CVD against the Ishihara Unlettered in the independent validation cohort. ColourSpot was also able to categorize individuals with ambiguous results on the Ishihara Unlettered. Compared to the Ishihara Unlettered, the Neitz Test generated an unacceptably high level of false positives. ColourSpot is an accurate test for CVD, which could be used by anyone to diagnose CVD in children from the start of their education. ColourSpot could also have a wider impact: its interface could be adapted for measuring other aspects of children’s visual performance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13428-021-01622-5. Springer US 2021-08-31 2022 /pmc/articles/PMC9170621/ /pubmed/34463952 http://dx.doi.org/10.3758/s13428-021-01622-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tang, Teresa Álvaro, Leticia Alvarez, James Maule, John Skelton, Alice Franklin, Anna Bosten, Jenny ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children |
title | ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children |
title_full | ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children |
title_fullStr | ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children |
title_full_unstemmed | ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children |
title_short | ColourSpot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children |
title_sort | colourspot, a novel gamified tablet-based test for accurate diagnosis of color vision deficiency in young children |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170621/ https://www.ncbi.nlm.nih.gov/pubmed/34463952 http://dx.doi.org/10.3758/s13428-021-01622-5 |
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