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Concrete Wall

Design Review:
Perceptual Processing Systems

Perception is a complicated process that requires signal detection to differentiate potential threats from background noise (Herzog et al., 2024; Lynn & Barrett, 2014; Mena-Guevara et al., 2024; Sandnes & Zhao, 2015). Evolutionarily, the human eye was developed for survival, and designers leverage innate processes today to capture attention through visual stimuli. Hunters used signal detection to differentiate threats from noise, while gatherers used contrast to differentiate food from inedible plants (Nesse, 2005). Today, designers use this knowledge to create designs that are both attention-grabbing and accessible. Key elements of visual perception include signal detection, contrast, onset, and accessibility. 

Signal Detection Theory
Signal Detection Theory is crucial for perception and decision-making. The eye can distinguish between noise and stimuli, and focus on what is deemed most important (Herzog et al., 2024; Lynn & Barrett, 2014; Mena-Guevara et al., 2024; Sandnes & Zhao, 2015). This theory explains how even weak stimuli can stand out through contrast, luminance, edge detection, and contour. In environments where there is a high level of noise, the stimuli must be stronger in order to stand out because detection thresholds increase (Nesse, 2005). Low-noise conditions allow stimuli to be more subtle because there is a lack of strong distractors. Signal Detection Theory is crucial for design and impacts color, information architecture, and movement. By manipulating contrast, designers are able to make certain stimuli stronger and guide attention to the most important features. 

Contrast

Contrast is necessary for identifying important stimuli. Key components of contrast are color perception and edge detection (Hattab et al., 2020; Mantiuk et al., 2020; Sandnes & Zhao, 2015). Color perception has three principal categories: luminance, saturation, and hue. The most important element of contrast is luminance, which can be described as “the visible energy of light or the physical light energy weighted according to the wavelength-by-wavelength response of the human visual system” (Yusof et al., 2022, [4]). This is perceived as the intensity of how dark or light a certain color is. These perceptions are detected by the retina's light receptors, cones, and rods (Bohl et al., 2025; Herzog et al., 2024; Mantiuk et al., 2020). Rods are made for low-light conditions and primarily detect luminance. Cones are sensitive to hue and rely on the trichromatic photoreceptors known as the L (red), M (green), and S (blue)-cones to process different light wavelengths (Mantiuk et al., 2020; Jamil & Denes, 2024). As seen in Wuerger et al. (2020), we can compute the luminance mechanism by adding the L- and M-cone responses. Contrast sensitivity increases with stimulus size, which is based on perceived distance from the eye and pictorial cues. Large stimuli are detected by the rods because they are more sensitive in the peripheral vision than the foveal vision; therefore, the eye is drawn toward the larger source of luminance (Wuerger et al., 2020; Mantiuk et al., 2020; Zhang et al., 2024). Voluntary or involuntary saccades can bring these images to the foveal vision (Zhang et al., 2024). This is amplified if the object is moving because new rods are activated, which draws attention. 
Higher luminance contrast, especially blue and yellow combinations, leads to better readability and performance (Hall & Hanna, 2004; Jamil & Denes, 2024). It is necessary for contrast to be detected both in the light conditions and at low light or night conditions because of how the cones and rods process these settings differently. It is recommended to have a luminance contrast of at least 4.5:1 for text and 3:1 for headings. For individuals with 20/80 vision, a ratio of  7:1 for text and 5:1 for headings is needed. For most websites, 3:1 is recommended for components and graphics, and 7:1 is recommended for text (Jamil & Denes, 2024; Sandnes & Zhao, 2015). Hall and Hanna (2004) state, “Colours with greater contrast ratio generally lead to greater readability” (p. 1). Readability is important because in order to identify text, it needs to be distinguishable from the background in different conditions. It is important to note that too much contrast, especially in luminance, can be detrimental. As luminance increases, achromatic contrast sensitivity heightens. When this luminance is higher than 200 cd/m², sensitivity declines; therefore, bright backgrounds make it difficult to detect contrast as they overwhelm the photoreceptors. Fully saturated visuals create fatigue, with red being the least desensitizing hue and blue being the most. An afterimage may result, leading to visual impairment, especially in low-light settings (Nesse, 2005; Wuerger et al., 2020). Hattab et al. (2020) state that there can be a negative interaction of blue and red colors in text, which can cause it to appear blurred and create chromatic aberration, resulting in failure to focus on both colors simultaneously. Contrast plays a major role in visual perception and should be considered heavily in design decisions. Contrast is detected with lateral inhibition, which enhances edge detection and luminance regions in order to identify objects and their boundaries (Chen & Fu, 2010).

 

Lateral Inhibition

Lateral inhibition enhances contrast through cones, rods, and cells.  After light is absorbed by the cones and rods, the bipolar cells receive and transfer signals. The horizontal cells enhance contrast by mediating and suppressing the photoreceptors around the photoreceptor of the stimuli. The rod and cone bipolar cells are on if light sensitivity is increasing and off if it decreases. These on-and-off cells signal to ganglion cells the light and dark regions, creating edge detection (Herzog et al., 2024). Amacrine cells make synapses in the eye to inhibit signals and enhance edge detection by delaying responses. These cells also carry motion and brightness signals to ganglion cells (Chen & Fu, 2010; Herzog et al., 2024). Ganglion cells receive contrast and edge-detected signals from the bipolar and amacrine cells, which are converted into neural signals. They then send information through the optic nerve to refine the information from cones and rods. Some ganglion cells (ipRGCs) regulate pupil dilation based on the light signals detected by melanopsin, rods, and cones. The ipRGCs are most used in bright lighting and are active longer than cones and rods. These cells determine lighting from the receptive fields of the retina (Bohl et al., 2025; Chen & Fu, 2010). Mirault & Grainger (2025) found that vertically aligned information can create a crowding effect where excess information slows object information. The researchers suggested this is primarily a visual effect rather than cognitive inhibitory control. Lateral inhibition is necessary for edge clarity and visual perception. Factors that make lateral inhibition less efficient are increased receptors, weaker inhibitory signals, and complex signals. Chen & Fu (2010) state that lateral inhibition enhances edges and broader contours enhance lateral inhibition but can lose fine details and lengthen processing time. These cells and photoreceptors are crucial in identifying and processing signals, as well as contributing to the detection speed, known as onset. 
 

Onset

Onset refers to the speed at which a stimulus is first detected. This can be explained in how the eye’s rods, cones, and ganglion cells process stimuli. Rods are optimal under low light conditions and have slower response times than cones. Therefore, there is a faster onset in conditions with more luminance (Kuo & Chao, 2025). Visual systems are especially sensitive to abrupt onset, and onset singletons can be used as a tool to make stimuli more abrupt, as they are difficult to ignore. Therefore, using motion or visual light stimuli is more effective than color-singleton (Kuo & Chao, 2025). Hall & Hanna (2004) stated that there is better detection with black text on grey and yellow backgrounds, with blue backgrounds resulting in lower performance. This is consistent with findings that high contrast leads to faster reaction times. Onset can also be heightened by saturation, and there is a strong positive relationship between saturation and arousal (Hall & Hanna, 2004). For signal detection to be most effective on a webpage, it's important to have something that stands out but doesn't overpower the senses. Nesse (2005) stated, “Repeated exposures to certain kinds of danger may adaptively lower response thresholds, making systems vulnerable to runaway positive feedback” (p .1). When the eye detects everything as a threat, then it is more difficult to differentiate what is important. Therefore, it's necessary not to have excess noise that has too high a contrast. It is important to have lower contrast for lower-order items, as having to allocate attention fatigues and leads to a worse user experience. Performance and attention can be enhanced by the design of visual stimuli, but it's equally important to consider how accessible these designs are.


Accessibility

Designing with all kinds of users in mind can create platforms where all people are able to engage and use products equally. Over 300 million people experience color vision deficiency (Jamil & Denes, 2024). This deficiency can impair contrast perception, as two colors may appear the same to someone with this syndrome. It is crucial to design websites that are accessible to all users for this reason. There are high-contrast modes that computers can implement, but the website has to be compliant, ensuring that colors and layouts function with accessibility modes (Jamil & Denes, 2024). 
Age affects the ability to recognize contrast, especially hue and luminance (Mena-Guevara et al., 2024). Wuerger (2013) found that there is a decline in elderly people's ability to differentiate between similar colors, and they need higher S cone input to perceive certain hues under low light conditions. They also state that as humans age, the lens yellows and causes a reduction of short-wavelength light detection in cone receptor mechanisms (Wuerger, 2013). The lens also loses flexibility as the proteins in the eye become stiffer. This makes it more difficult to see objects up close as the lens needs to be flexible to focus short range, known as presbyopia (Fang-Fang et al., 2020). Cataracts cloud the lens and can contribute to vision problems. Fang-Fang et al. (2020) found that contrast sensitivity varies with age, spatial frequency, and noise levels. It was also found that “smaller pupil size, lower optical density of the ocular media, and decreased light absorption in the aged population may have a strong influence over contrast sensitivity at high spatial frequency” (Fang-Fang et al., 2020, [5]). Sandnes & Zhao (2015) state that in the W3C Web Accessibility Guidelines, the criterion requires that web pages be readable by people with color blindness, 20/40 vision, and 20/80 vision. This demonstrates the relationship between contrast, text size, and visual acuity. Visual acuity declines with age, so it is important to include these three criteria on all web pages. 

Design Review

RockAuto.com is a trusted online auto parts catalog with hundreds of selections from car models of different makes and years. This website is popular among mechanics due to the comprehensive selection of car parts and accessories. A frequent user is a 62-year-old male who uses RockAuto.com for hours each week to supply his auto parts business. He has visual challenges due to his cataracts as well as red-green color blindness, and his age leads him to have presbyopia. This review will discuss the use of contrast, signal detection, lateral inhibition, and onset in relation to RockAuto.com.

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At first glance, this website seems complicated, with no clear direction as to how to find the car parts. As a consequence of the 166 car names being listed on the same page and the headers being the same text size, there is a lack of contrast on the left side of the website. The large lettering of the Quick Cart feature “No Items in Shopping Cart” and the “Remember Me” orange block draw major attention to the right, especially because most of the page is white space. These are features that are often seen at the end of a shopping journey or hidden in an icon until a shopper adds in an item. To combat this, the quick cart feature should not be open when first landing on the homepage, and rather collapsed to the icon in the top right. This will reduce noise on the page and direct attention to the car titles. The “remember me” section should not be a block of color, instead, the orange block would be better used to draw attention to the cart icon. The headers on the top left should also have higher contrast and larger text to demonstrate that they are more important than the car names. It is positive that the designer enhanced edge detection by outlining these header buttons, and this can be improved further by using a high-contrast color, such as yellow. The designer also used yellow to highlight the click path as well as the “related parts” button, which is a positive addition. For the left-side car names, blue links on a white background provide high contrast and abrupt onset. This could be problematic for the user, however, who has difficulties seeing small blue lettering because of his cataracts as well as his lens being less flexible, as discussed in Wuerger. The use of highly saturated and luminance blue lettering is also problematic because it is the hue with the greatest sensitivity. Blue letters also provide low visual acuity, so instead, changing to black lettering that turns into a blue link while hovering could ease this problem.

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After clicking on a car make and model, the subcategories can be seen. For the Standard Replacement section, black text on a blue background has been proven to be problematic as seen in Hall & Hanna, and does not provide useful contrast. By using the WebAIM contrast detector, it was found that the black on blue has a 3.5:1 contrast ratio, and the blue on blue has a contrast ratio of 4:1. To fix this the background should be changed from blue to white, but the blue header should remain in order to differentiate this section from others. As mentioned in Sandnes & Zhao, it is necessary to have 7:1 contrast to ensure websites are accessible. Rather than the high saturation blue and orange block of color that makes up that header, a lower saturation should be used in order to reduce fatigue and not distract. The design has clear lines that establish sections, which is a positive feature. However, there is vertical text crowding, where signal detection becomes difficult because the peripheral vision becomes overwhelmed, as discussed in Mirault & Grainger. To ease this crowding, the design could employ headers that list car parts in broader primary categories rather than listing all 166 car names, reducing the number of words on the home page. 

The user has red-green color blindness, so the use of blue is positive for his detection. The use of orange next to yellow features, however, is problematic. These two colors can appear the same, which can create confusion with the headers. Instead of relying on colors, using a symbol or larger bold text on the “related parts” button to present a header can increase accessibility. This website currently has no motion unless you press the accordion menus. Adding a carousel of important categories on the top of the homepage would draw the users' attention and increase onset, as mentioned in Kuo & Chao. This would also increase the headers' contrast with size and color, as well as establish a clear hierarchy. 

RockAuto.com has features that both adhere to and violate design principles. The website effectively organizes car parts with definitive lines and section highlights, but many aspects can be detrimental to users. Design issues such as low contrast, poor color combinations, vertical text crowding, and small lettering can reduce visual perception, navigation, and accessibility as well as lead to fatigue. By improving section differentiation, using high contrast colors that don’t lead to fatigue, and reducing visual noise, this website can enhance user experience as well as accessibility. These changes can make a world of difference, not just for this user but for everyone who visits RockAuto.com.

References

Bohl, J. M., Hassan, A. R., Sharpe, Z. J., Kola, M., Shehu, A., Beaudoin, D. L., & Ichinose, T. (2025). Pivotal roles of melanopsin containing retinal ganglion cells in pupillary light reflex in photopic conditions. Frontiers in Cellular Neuroscience, https://doi.org/10.3389/fncel.2025.1547066

 

Chen, Y., & Fu, H. (2010). Study and application of lateral inhibition models in image's contour enhancement. 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), V13-23–V13-27. https://doi.org/10.1109/ICCASM.2010.5622639

 

Fang-Fang, Y., Fang, H., Lu, H., Yang, J., Chen, L., Wu, Y., Chen, G., & Chang-Bing, H. (2020). Aging affects gain and internal noise in the visual system. Scientific Reports (Nature Publisher Group), 10(1)https://doi.org/10.1038/s41598-020-63053-0 

 

Hall, R. H., & Hanna, P. (2004). The impact of web page text-background colour combinations on readability, retention, aesthetics and behavioural intention. Behaviour & Information Technology, 23(3), 183–195. https://doi.org/10.1080/01449290410001669932

 

Hattab, G., Rhyne, T., & Heider, D. (2020). Ten simple rules to colorize biological data visualization. PLoS Computational Biology, 16(10)https://doi.org/10.1371/journal.pcbi.1008259

 

Herzog, T., Yoshimatsu, T., Moya-Diaz, J., James, B., Lagnado, L., & Baden, T. (2024). A heterogeneous population code at the first synapse of vision. Cold Spring Harbor, https://doi.org/10.1101/2024.05.03.592379

 

Jamil, A., & Denes, G. (2024). Investigating Color-Blind User-Interface Accessibility via Simulated Interfaces. Computers, 13(2), 53. https://doi.org/10.3390/computers13020053

 

Kuo, C., & Chao, H. (2025). Top-down inhibitory control of singleton distractors: Distractor type and time course. Journal of Experimental Psychology: Human Perception and Performance, https://doi.org/10.1037/xhp0001283

 

Lynn, S., & Barrett, L. F. (2014). Utilizing signal detection theory. Psychological Science, 25(10), 1663–1673. https://doi.org/10.1177/0956797614541991

 

Mantiuk, R.K., Kim, M., Ashraf, M., Xu, Q., Luo, M.R., Martinovic, J., & Wuerger, S.M. (2020). Practical Color Contrast Sensitivity Functions for Luminance Levels up to 10000 cd/m2. International Conference on Communications in Computing.

 

Mena-Guevara, K., Piñero, D.,P., Luque, M. J., & de Fez, D. (2024). The Measurement of Contrast Sensitivity in Near Vision: The Use of a Digital System vs. a Conventional Printed Test. Technologies, 12(7), 108. https://doi.org/10.3390/technologies12070108

 

Mirault, J., & Grainger, J. (2025). Effects of vertically aligned flankers during sentence reading. Journal of Experimental Psychology: Learning, Memory, and Cognition, 51(1), 97-105. https://doi.org/10.1037/xlm0001329

 

Nesse, R. M. (2005). Natural selection and the regulation of defenses: A signal detection analysis of the smoke detector principle. Evolution and Human Behavior, 26(1), 88-105. https://doi.org/10.1016/j.evolhumbehav.2004.08.002

 

Wuerger, S. (2013, May 8). Colour constancy across the life span: Evidence for compensatory mechanisms. PLOS ONE. https://doi.org/10.1371/journal.pone.0063921 

 

Wuerger, S., Ashraf, M., Kim, M., Martinovic, J., Pérez-Ortiz, M., & Mantiuk, R. K. (2020). Spatio-chromatic contrast sensitivity under mesopic and photopic light levels. Journal of vision, 20(4), 23. https://doi.org/10.1167/jov.20.4.23

 

Sandnes, F. E., & Zhao, A. (2015). A contrast colour selection scheme for WCAG2.0-compliant web designs based on HSV-half-planes. 2015 IEEE International Conference on Systems, Man, and Cybernetics, 1233–1237. https://doi.org/10.1109/SMC.2015.220

 

Yusof, N., Hashim, N. L., & Hussain, A. (2022). A Conceptual User Experience Evaluation Model on Online Systems. International Journal of Advanced Computer Science and Applications. http://dx.doi.org/10.14569/IJACSA.2022.0130153


Zhang, J., Zhou, H., & Wang, S. (2024). Distinct visual processing networks for foveal and peripheral visual fields. Communications Biology, 7(1), 1259. https://doi.org/10.1038/s42003-024-06980-2

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