journal article·2021-04-02Open access

Eye-Tracker Analysis of the Contrast Sensitivity of Anomalous and Normal Trichromats: A Loglinear Examination with Landolt-C Figures

László Sipos, Attila Gere, Zoltán Kókai, Ákos Nyitrai, Sándor Kovács, Ágnes Urbin, Krisztián Samu, Klára Wenzel

Applied Sciences· Volume 11· Issue 7

Abstract

The contrast sensitivity of normal and anomalous trichromats were examined with Landolt-C figures by eye-tracking system. For the measurements, two series of test images (achromatic and colored) were designed. The difficulty levels of the tests were gradually increased after each right answer. In the case of the observation of the ring of the Landolt-C figures, the variables related to fixation duration, fixation count, visit duration and count significantly affected this subject, success or image parameters, and their interactions. The main questions of this study were as follows: Which statistical method is suitable to model the differences between anomalous and normal trichromats? Which eye-movement variables have a significant effect on the investigated parameters and on their interactions? Is there any significant difference between eye-movement variables of normal and anomalous trichromats? How does the survival time of anomalous and normal trichromats change in the case of achromatic and colored figures? The results showed that the right answers of anomalous and normal trichromats can be described with multiple or cross-classified contingency tables evaluated effectively by loglinear regression. The survival analysis showed that normal trichromats are more successful in interpreting colored images, while anomalous trichromats seemed to be more efficient in perceiving achromatic images.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Visual perception and processing mechanisms · Visual Attention and Saliency Detection · Image Retrieval and Classification Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Postharvest, Supply Chain, Commerce and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 39-43 Villányi út., 1118 Budapest, Hungary

Department of Economical and Financial Mathematics, Institute of Statistics and Research Methodology, Faculty of Economics and Business, University of Debrecen, 138. Böszörményi út., 4032 Debrecen, Hungary

Department of Mechatronics, Optics and Mechanical Engineering Informatics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, 3 Műegyetem rkp., 1111 Budapest, Hungary

Funding

Hungarian Academy of Sciences · European Union and European Social Fund · National Research Development and Innovation Office · Hungarian University of Agriculture and Life Sciences · National Research, Development and Innovation Office of Hungary

References (52)

Show source-provided references
1. Backhaus, W.G.K., Kliegl, R., and Werner, J.S. (2011). Color Vision: Perspectives from Different Disciplines, Walter de Gruyter.
2. Contrast in Complex Images10.1364/JOSAA.7.002032 ↗
3. Barten, P.G.J. (1999). Contrast Sensitivity of the Human Eye and Its Effects on Image Quality, SPIE Press.10.1117/3.353254 ↗
4. Gregory, R.L. (2015). Eye and Brain, Princeton University Press.
5. Hoffman, D.D. (2000). Visual Intelligence: How We Create What We See, WW Norton & Company.
6. Livingstone, M. (2008). Vision and Art: The Biology of Seeing, Abrams.
7. Measuring Colour Appearance of Red Wines10.1016/j.foodqual.2007.01.013 ↗
8. Optimisation of Food Expectations Using Product Colour and Appearance10.1016/j.foodqual.2011.07.004 ↗
9. Origin of Human Colour Preference for Food10.1016/j.jfoodeng.2013.06.021 ↗
10. Seeing, Smelling, Feeling! Is There an Influence of Color on Subjective Affective Responses to Perfumed Fabric Softeners?10.1016/j.foodqual.2012.06.011 ↗
11. The Color of Emotion: A Metric for Implicit Color Associations10.1016/j.foodqual.2016.04.007 ↗
12. The Impact of Menu Label Design on Visual Attention, Food Choice and Recognition: An Eye Tracking Study10.1111/joss.12216 ↗
13. Beyond the Food Label Itself: How Does Color Affect Attention to Information on Food Labels and Preference for Food Attributes?10.1016/j.foodqual.2017.10.004 ↗
14. Can Eye-Tracking Techniques Overcome a Limitation of Conjoint Analysis? Case Study on Healthfulness Perception of Yogurt Labels10.1111/joss.12062 ↗
15. Former and potential developments in sensory color masking–Review10.1016/j.tifs.2021.02.050 ↗
16. Is It the Plate or Is It the Food? Assessing the Influence of the Color (Black or White) and Shape of the Plate on the Perception of the Food Placed on It10.1016/j.foodqual.2011.08.011 ↗
17. Colored Backgrounds Affect the Attractiveness of Fresh Produce, but Not It’s Perceived Color10.1016/j.foodqual.2016.10.011 ↗
18. Background Colour & Its Impact on Food Perception & Behaviour10.1016/j.foodqual.2018.02.012 ↗
19. ISO (2011). ISO 11037:2011 Sensory Analysis—Guidelines for Sensory Assessment of the Colour of Products, ISO.
20. ISO (2012). ISO 8586:2012 Sensory Analysis—General Guidelines for the Selection, Training and Monitoring of Selected Assessors and Expert Sensory Assessors, ISO.
21. Suprathreshold contrast response in normal and anomalous trichromats10.1364/JOSAA.380088 ↗
22. Colour Training and Colour Differences Thresholds in Orange Juice10.1016/j.foodqual.2013.05.018 ↗
23. The Most Valuable Player May Not Be on the Winning Team: Uncovering Consumer Tolerance for Color Shades in Roses10.1016/j.foodqual.2015.04.012 ↗
24. Stilling, J. (1909). Pseudo-Isochromatische Tafeln zür Prüfung des Farbensinnes, Verlag von Georg Thieme.
25. Velhagen, K. (2003). Tafeln zur Prüfung des Farbsinnes, Thieme. [33rd ed.].
26. Rjabkin, E.B. (1954). Polychromatièeskije Tablicy dlja Issledovanija Cvìtoošèušèenija, Medgiz.
27. Ishihara, S. (1994). Ishihara’s Tests for Colour Blindness, Kanahara.
28. Colour vision: A review of the Cambridge Colour Test and other colour testing methods
29. Review of the main colour vision clinical assessment tests
30. Influence of Rational and Intuitive Thinking Styles on Food Choice: Preliminary Evidence from an Eye-Tracking Study with Yogurt Labels10.1016/j.foodqual.2013.07.005 ↗
31. Influence of Mood on Gazing Behavior: Preliminary Evidences from an Eye-Tracking Study10.1016/j.foodqual.2017.05.004 ↗
32. Have an Eye on the Buckled Cucumber: An Eye Tracking Study on Visually Suboptimal Foods10.1016/j.foodqual.2017.03.009 ↗
33. Pseudo-isochromatic Plates to Measure Color Discrimination
34. Wenzel, K., and Urbin, Á. (2014, January 8–10). Improving Colour Vision. Proceedings of the Lumen V4 Conference, Visegrád, Hungary.
35. Color and luminance contrast sensitivity function of people with anomalous color vision10.1117/12.464652 ↗
36. Towards a Spatio-Chromatic Standard Observer for Detection10.1117/12.469512 ↗
37. ISO (2009). ISO 3664:2009 Graphic Technology and Photography—Viewing Conditions, ISO.
38. ISO (2015). ISO 12646:2015 Graphic Technology—Displays for Colour Proofing—Characteristics, ISO.
39. Schafer, J.L. (1997). Analysis of Incomplete Multivariate Data, CRC Press.10.1201/9781439821862 ↗
40. Using Covariates in Loglinear Models with Sampling Zeros; A Cautionary Note10.1016/S0167-9473(98)80003-0 ↗
41. Lawal, B., and Lawal, H.B. (2003). Categorical Data Analysis with Sas and Spss Applications, Psychology Press.10.4324/9781410609168 ↗
42. Dytham, C. (2011). Choosing and Using Statistics: A Biologist’s Guide, John Wiley & Sons.
43. Survival Analysis Applied to Sensory Shelf Life of Foods10.1111/j.1365-2621.2003.tb14165.x ↗
44. Machin, D., Cheung, Y.B., and Parmar, M. (2006). Survival Analysis: A Practical Approach, John Wiley & Sons.10.1002/0470034572 ↗
45. Methodology for Sensory Shelf-Life Estimation: A Review10.1111/j.1745-459X.2012.00383.x ↗
46. Allison, P.D. (2010). Survival Analysis Using SAS: A Practical Guide, SAS Institute. [2nd ed.].
47. Agresti, A. (2003). Categorical Data Analysis, John Wiley & Sons.10.1002/0471249688 ↗
48. ISO (2014). ISO 11136:2014/AMD 1:2020 Sensory Analysis—Methodology—General Guidance for Conducting Hedonic Tests with Consumers in a Controlled Area—Amendment 1, ISO.
49. ISO (2017). ISO 6658:2017 Sensory Analysis—Methodology—General Guidance, ISO.
50. Structure of presented stimuli influences gazing behavior and choice10.1016/j.foodqual.2020.103915 ↗
51. Survival analysis in clinical trials: Basics and must know areas10.4103/2229-3485.86872 ↗
52. Doron, R., Sterkin, A., Fried, M., Yehezkel, O., Lev, M., Belkin, M., and Polat, U. (2019). Spatial visual function in anomalous trichromats: Is less more?. PLoS ONE, 14.10.1371/journal.pone.0209662 ↗