Efficacy of the Computer Program to Compensate Color Vision Deficiency using Seohan Computerized 85-Hue Test.
- Author:
Young Joo SHIN
1
;
Won Ryang WEE
;
Jin Hak LEE
;
Seung Ji YANG
;
Yong Man RO
Author Information
1. Department of Ophthalmology, Dongguk University College of Medicine, Seoul, Korea.
- Publication Type:Original Article
- Keywords:
Color compensation program;
Color vision deficiency;
Congenital color vision deficiency;
Seohan computerized hue test
- MeSH:
Color Vision Defects*;
Color Vision*;
Compensation and Redress;
Diagnosis;
Humans;
Surveys and Questionnaires
- From:Journal of the Korean Ophthalmological Society
2006;47(10):1638-1646
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: to study the utility of a program which diagnoses and compensates for color defects on computer monitors according to the severity and type of color vision deficiency (CVD). METHODS: Twenty-eight patients with congenital CVD completed Seohan computerized hue test, color compensated Seohan computerized hue test and questionnaire for preference of color compensated images. The relation between results of the Seohan computerized hue test and the degrees of color compensation was investigated. HRR test and Nagel anomaloscope were used for determining the severity and type of CVD. RESULTS: In applying the color compensation program, the total error score (TES) of the Seohan computerized hue test was significantly reduced. In cases of milder color vision defect, the TES of the color compensated Seohan computerized hue test was reduced at lower color compensations, while it was reduced at higher color compensations in cases of more severe color vision defect. In the color compensation of images, patients with milder color vision defects preferred images with lower color compensation and patients with more severe color vision defect preferred images with higher color compensation. CONCLUSIONS: The color compensation program for CVD effectively reduced the TES of Seohan computerized hue tests and improved the recognition of colors. This suggests that the program can be helpful to actual life in patients with CVD.
