Evaluation of a dichromatic color-appearance simulation by a visual search task

We used a visual search task to investigate the validity of the dichromatic simulation model proposed by Brettel et al. Although the dichromatic simulation could qualitatively predict reaction times for color-defective observers, the reaction times for color-defective observers tended to be longer than those of the trichromatic observers in Experiment 1. In Experiment 2, we showed that a reduction of purity excitation of simulated colors can provide a good prediction. Further, we propose an adaptive dichromatic simulation model based on the color differences between a simulated target color and simulated distractor colors in order to obtain a better quantitative prediction of reaction times in the visual search task for color defects.

[1]  Dean Farnsworth,et al.  The Farnsworth-Munsell 100-Hue and Dichotomous Tests for Color Vision* , 1943 .

[2]  A. Nagy,et al.  Critical color differences determined with a visual search task. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[3]  David R. Williams,et al.  Punctate sensitivity of the blue-sensitive mechanism , 1981, Vision Research.

[4]  Bruno G. Breitmeyer,et al.  Priming and masking interactions shape the transient component of focal attention , 2010 .

[5]  A. Mikami,et al.  Advantage of dichromats over trichromats in discrimination of color‐camouflaged stimuli in nonhuman primates , 2005, American journal of primatology.

[6]  C. H. Graham,et al.  Color Defect and Color Theory , 1958, Science.

[7]  Barry L Cole,et al.  Visual search and the conspicuity of coloured targets for colour vision normal and colour vision deficient observers , 2004, Clinical & experimental optometry.

[8]  Shankaran Ramaswamy,et al.  Does Dichromatic Color Simulation Predict Color Identification Error Rates? , 2011, Optometry and vision science : official publication of the American Academy of Optometry.

[9]  Justin Broackes Unilateral colour vision defects and the dimensions of dichromat experience , 2010, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[10]  Toshikazu Hasegawa,et al.  Advantage of Dichromats over Trichromats in Discrimination of Color-Camouflaged Stimuli in Humans , 2006, Perceptual and motor skills.

[11]  J D Mollon,et al.  Computerized simulation of color appearance for dichromats. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

[12]  J. Mollon,et al.  Dichromats detect colour-camouflaged objects that are not detected by trichromats , 1992, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[13]  Michael D'Zmura,et al.  Color in visual search , 1991, Vision Research.

[14]  W. McIlhagga,et al.  Detection mechanisms in L-, M-, and S-cone contrast space. , 1993, Journal of the Optical Society of America. A, Optics and image science.

[15]  Pascual Capilla,et al.  Corresponding-pair procedure: a new approach to simulation of dichromatic color perception. , 2004, Journal of the Optical Society of America. A, Optics, image science, and vision.

[16]  Gunther Wyszecki,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .

[17]  A. Chapanis Spectral saturation and its relation to color-vision defects. , 1944 .

[18]  Karl R Gegenfurtner,et al.  Advantages and disadvantages of human dichromacy. , 2006, Journal of vision.

[19]  John D. Mollon,et al.  Normal and Defective Colour Vision , 2003 .

[20]  K Kitahara,et al.  Perception of colour in unilateral tritanopia. , 1983, The Journal of physiology.

[21]  J. Mollon,et al.  Luminance noise and the rapid determination of discrimination ellipses in colour deficiency , 1994, Vision Research.