A computer-controlled color vision test for children based on the Cambridge Colour Test

2008 ◽  
Vol 25 (3) ◽  
pp. 445-450 ◽  
Author(s):  
PAULO R. K. GOULART ◽  
MARCIO L. BANDEIRA ◽  
DANIELA TSUBOTA ◽  
NESTOR N. OIWA ◽  
MARCELO F. COSTA ◽  
...  
Keyword(s):  
Young Children ◽  
Color Vision ◽  
Color Discrimination ◽  
Training Techniques ◽  
Research Systems ◽  
Cambridge Research ◽  
Color Vision Test ◽  
Child Friendly ◽  
Age Range ◽  
Landolt C

The present study aimed at providing conditions for the assessment of color discrimination in children using a modified version of the Cambridge Colour Test (CCT, Cambridge Research Systems Ltd., Rochester, UK). Since the task of indicating the gap of the Landolt C used in that test proved counterintuitive and/or difficult for young children to understand, we changed the target stimulus to a patch of color approximately the size of the Landolt C gap (about 7° of visual angle at 50 cm from the monitor). The modifications were performed for the CCT Trivector test which measures color discrimination for the protan, deutan and tritan confusion lines. Experiment 1 sought to evaluate the correspondence between the CCT and the child-friendly adaptation with adult subjects (n = 29) with normal color vision. Results showed good agreement between the two test versions. Experiment 2 tested the child-friendly software with children 2 to 7 years old (n = 25) using operant training techniques for establishing and maintaining the subjects' performance. Color discrimination thresholds were progressively lower as age increased within the age range tested (2 to 30 years old), and the data—including those obtained for children—fell within the range of thresholds previously obtained for adults with the CCT. The protan and deutan thresholds were consistently lower than tritan thresholds, a pattern repeatedly observed in adults tested with the CCT. The results demonstrate that the test is fit for assessment of color discrimination in young children and may be a useful tool for the establishment of color vision thresholds during development.

scholarly journals Comparison of color discrimination in chronic heavy smokers and healthy subjects

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 85 ◽  
Author(s):  
Thiago Monteiro de Paiva Fernandes ◽  
Natanael Antonio dos Santos
Keyword(s):  
Color Vision ◽  
Cigarette Smoke ◽  
Color Discrimination ◽  
Toxic Chemicals ◽  
Heavy Smoking ◽  
Gender And Education ◽  
Age Range ◽  
Fundoscopic Examination ◽  
Choice Method ◽  
Heavy Smokers

Background: Cigarette smoke is probably the most significant source of exposure to toxic chemicals for humans, involving health-damaging components, such as nicotine, hydrogen cyanide and formaldehyde. The aim of the present study was to assess the influence of chronic heavy smoking on color discrimination (CD). Methods: All subjects were free of any neuropsychiatric disorder, identifiable ocular disease and had normal acuity. No abnormalities were detected in the fundoscopic examination and in the optical coherence tomography exam. We assessed color vision for healthy heavy smokers (n = 15; age range, 20-45 years), deprived smokers (n = 15, age range 20-45 years) and healthy non-smokers (n = 15; age range, 20-45 years), using the psychophysical forced-choice method. All groups were matched for gender and education level. In this paradigm, the volunteers had to choose the pseudoisochromatic stimulus containing a test frequency at four directions (e.g., up, down, right and left) in the subtest of Cambridge Colour Test (CCT): Trivector. Results: Performance on CCT differed between groups, and the observed pattern was that smokers had lower discrimination compared to non-smokers. In addition, deprived smokers presented lower discrimination to smokers and non-smokers. Contrary to expectation, the largest differences were observed for medium and long wavelengths. Conclusions: These results suggests that cigarette smoke and chronic exposure to nicotine, or withdrawal from nicotine, affects CD. This highlights the importance of understanding the diffuse effects of nicotine either attentional bias on color vision.

scholarly journals Comparison of color discrimination in chronic heavy smokers and healthy subjects

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 85 ◽  
Author(s):  
Thiago Monteiro de Paiva Fernandes ◽  
Natalia Leandro Almeida ◽  
Natanael Antonio dos Santos
Keyword(s):  
Color Vision ◽  
Cigarette Smoke ◽  
Color Discrimination ◽  
Toxic Chemicals ◽  
Heavy Smoking ◽  
Gender And Education ◽  
Age Range ◽  
Fundoscopic Examination ◽  
Choice Method ◽  
Heavy Smokers

Background: Cigarette smoke is probably the most significant source of exposure to toxic chemicals for humans, involving health-damaging components, such as nicotine, hydrogen cyanide and formaldehyde. The aim of the present study was to assess the influence of chronic heavy smoking on color discrimination (CD). Methods: All subjects were free of any neuropsychiatric disorder, identifiable ocular disease and had normal acuity. No abnormalities were detected in the fundoscopic examination and in the optical coherence tomography exam. We assessed color vision for healthy heavy smokers (n = 15; age range, 20-45 years), deprived smokers (n = 15, age range 20-45 years) and healthy non-smokers (n = 15; age range, 20-45 years), using the psychophysical forced-choice method. All groups were matched for gender and education level. In this paradigm, the volunteers had to choose the pseudoisochromatic stimulus containing a test frequency at four directions (e.g., up, down, right and left) in the subtest of Cambridge Colour Test (CCT): Trivector. Results: Performance on CCT differed between groups, and the observed pattern was that smokers had lower discrimination compared to non-smokers. In addition, deprived smokers presented lower discrimination to smokers and non-smokers. Contrary to expectation, the largest differences were observed for medium and long wavelengths. Conclusions: These results suggests that cigarette smoke and chronic exposure to nicotine, or withdrawal from nicotine, affects CD. This highlights the importance of understanding the diffuse effects of nicotine either attentional bias on color vision.

Evaluation of Kojima-Matsubara Color Vision Test Plates: Validity in Young Children

1997 ◽  
Vol 74 (9) ◽  
pp. 726-731 ◽  
Author(s):  
DAVID Y. LEE ◽  
SUSAN A. COTTER ◽  
ALAN L. FRENCH
Keyword(s):  
Young Children ◽  
Color Vision ◽  
Color Vision Test

Do Young Children Modulate Their Cognitive Control?

2016 ◽  
Vol 63 (2) ◽  
pp. 117-126 ◽  
Author(s):  
Solène Ambrosi ◽  
Patrick Lemaire ◽  
Agnès Blaye
Keyword(s):  
Young Children ◽  
Cognitive Control ◽  
Inhibitory Control ◽  
Age Range ◽  
Stroop Tasks ◽  
And Task

Abstract. Dynamic, trial-by-trial modulations of inhibitory control are well documented in adults but rarely investigated in children. Here, we examined whether 5-to-7 year-old children, an age range when inhibitory control is still partially immature, achieve such modulations. Fifty three children took flanker, Simon, and Stroop tasks. Above and beyond classic congruency effects, the present results showed two crucial findings. First, we found evidence for sequential modulations of congruency effects in these young children in the three conflict tasks. Second, our results showed both task specificities and task commonalities. These findings in young children have important implications as they suggest that, to be modulated, inhibitory control does not require full maturation and that the precise pattern of trial-by-trial modulations may depend on the nature of conflict.

NOTE ON COLOR PREFERENCE AND COLOR VISION TEST PERFORMANCE

1989 ◽  
Vol 69 (3) ◽  
pp. 1039-1042 ◽  
Author(s):  
L. W. BUCKALEW ◽  
NANCY MAITS BUCKALEW ◽  
SHERMAN ROSS
Keyword(s):  
Color Vision ◽  
Test Performance ◽  
Color Preference ◽  
Color Vision Test

Color-blindness simulation for red-green and blue-yellow ambiguity

2021 ◽  
pp. 1-12
Author(s):  
Sheida Anbari ◽  
Hamid Reza Hamidi ◽  
Shokoh Kermanshahani
Keyword(s):  
Color Vision ◽  
Color Perception ◽  
Color Blindness ◽  
Daily Activities ◽  
Reasonable Accuracy ◽  
Simulation Performance ◽  
Normal Color Vision ◽  
Test Kit ◽  
Different Types ◽  
Color Vision Test

Color blindness has important effects on people’s daily activities, since most activities require a discernment between colors. It is very important for engineers and designers to understand how colorblind people perceive colors. Therefore, many methods have been proposed to simulate color perception of people affected by Dichromacy and anomalous Trichromacy. However, the simulation results rarely have been evaluated with the reports of concerned individuals. In first study, we tried to simulate the color perception of people with different types (red and green) and different degrees of color blindness. Different degrees of red-green deficiency is simulated on the 24-plates brand of the Ishihara color vision test kit. Then simulated plates were tested on people with normal color vision. The results show that the simulation performance is better in the case of high degrees of red-green deficiency. There is also a clear difference between the assessment of female and male volunteers. In another study, the perception of the color of people with blue-yellow blindness is also considered. The proposed blue-yellow blind simulation is compared with the result of another research project. The results show that the color perception of individuals with different degrees of blue-yellow blindness can be reconstructed with a reasonable accuracy.

Real-Ear-to-Coupler Difference Predictions as a Function of Age for Two Coupling Procedures

2002 ◽  
Vol 13 (08) ◽  
pp. 407-415 ◽  
Author(s):  
Marlene P. Bagatto ◽  
Susan D. Scollie ◽  
Richard C. Seewald ◽  
K. Shane Moodie ◽  
Brenda M. Hoover
Keyword(s):  
Young Children ◽  
Infants And Children ◽  
Regression Equations ◽  
Predictive Equations ◽  
Subject Variability ◽  
Predicted Values ◽  
Age Range ◽  
Infants And Young Children

The predicted real-ear-to-coupler difference (RECD) values currently used in pediatric hearing instrument prescription methods are based on 12-month age range categories and were derived from measures using standard acoustic immittance probe tips. Consequently, the purpose of this study was to develop normative RECD predicted values for foam/acoustic immittance tips and custom earmolds across the age continuum. To this end, RECD data were collected on 392 infants and children (141 with acoustic immittance tips, 251 with earmolds) to develop normative regression equations for use in deriving continuous age predictions of RECDs for foam/acoustic immittance tips and earmolds. Owing to the substantial between-subject variability observed in the data, the predictive equations of RECDs by age (in months) resulted in only gross estimates of RECD values (i.e., within ± 4.4 dB for 95% of acoustic immittance tip measures; within ± 5.4 dB in 95% of measures with custom ear molds) across frequency. Thus, it is concluded that the estimates derived from this study should not be used to replace the more precise individual RECD measurements. Relative to previously available normative RECD values for infants and young children, however, the estimates derived through this study provide somewhat more accurate predicted values for use under those circumstances for which individual RECD measurements cannot be made.

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