Authors

  • Daria Bazaikina
    Head of the Digital Product Interfaces Development Department, PJSC Gazprom Neft, Saint Petersburg, Russia

DOI:

https://doi.org/10.37547/tajssei/Volume07Issue02-02

Keywords:

Color vision digital interfaces accessibility

Abstract

This article examines the significance of considering various aspects of color perception in the process of developing digital interfaces. Color serves as a fundamental element of human vision and perception of the environment; therefore, it is crucial to account for diverse manifestations of color vision, including color blindness, achromatopsia, and tetrachromacy. Attention is given to the impact of design standards on improving user convenience, reducing the likelihood of errors, and decreasing cognitive load. The purpose of this study is to provide recommendations for designing digital product interfaces that accommodate users with various forms of color perception.

To achieve these goals, a review of scientific literature was conducted, methodologies for color adaptation were studied, and the application of simulators for color perception deviations was examined. The focus is placed on color blindness, reduced contrast perception, and changes in visual function occurring with age.

The findings emphasize the need to create interfaces tailored to users with varying characteristics. Key directions include color schemes with contrasting elements, mechanisms for adjusting hues, and visual signals that complement core content. Automated color solutions enable the consideration of users' individual parameters.

A design approach that takes into account the specifics of color perception enhances interaction with interfaces, making them more accessible.

The information presented in this study will be of interest to developers engaged in interface design, software specialists, experts studying cognitive processes, and those working in the field of computer vision. The described methodologies find application in educational and commercial initiatives aimed at promoting inclusivity.


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The American Journal of Social Science and Education Innovations

7

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TYPE

Original Research

PAGE NO.

7-15

DOI

10.37547/tajssei/Volume07Issue02-02



OPEN ACCESS

SUBMITED

02 December 2024

ACCEPTED

04 January 2025

PUBLISHED

06 February 2025

VOLUME

Vol.07 Issue02 2025

CITATION

Daria Bazaikina. (2025). The importance of considering distinct
characteristics of color vision in the development of digital interfaces. The
American Journal of Social Science and Education Innovations, 7(02), 7

15.

https://doi.org/10.37547/tajssei/Volume07Issue02-02

COPYRIGHT

© 2025 Original content from this work may be used under the terms
of the creative commons attributes 4.0 License.

The importance of
considering distinct
characteristics of color
vision in the development
of digital interfaces

Daria Bazaikina

Head of the Digital Product Interfaces Development Department, PJSC
Gazprom Neft, Saint Petersburg, Russia

Abstract:

This article examines the significance of

considering various aspects of color perception in the
process of developing digital interfaces. Color serves as
a fundamental element of human vision and perception
of the environment; therefore, it is crucial to account for
diverse manifestations of color vision, including color
blindness,

achromatopsia,

and

tetrachromacy.

Attention is given to the impact of design standards on
improving user convenience, reducing the likelihood of
errors, and decreasing cognitive load. The purpose of
this study is to provide recommendations for designing
digital product interfaces that accommodate users with
various forms of color perception.

To achieve these goals, a review of scientific literature
was conducted, methodologies for color adaptation
were studied, and the application of simulators for color
perception deviations was examined. The focus is
placed on color blindness, reduced contrast perception,
and changes in visual function occurring with age.

The findings emphasize the need to create interfaces
tailored to users with varying characteristics. Key
directions include color schemes with contrasting
elements, mechanisms for adjusting hues, and visual
signals that complement core content. Automated color
solutions enable the consideration of users' individual
parameters.

A design approach that takes into account the specifics
of color perception enhances interaction with
interfaces, making them more accessible.

The information presented in this study will be of
interest to developers engaged in interface design,
software specialists, experts studying cognitive
processes, and those working in the field of computer
vision. The described methodologies find application in
educational and commercial initiatives aimed at


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promoting inclusivity.

Keywords:

Color vision, digital interfaces, color

blindness, accessibility, cognitive perception, contrast,
adaptive technologies.

Introduction:

Modern digital interfaces have become

integral to daily life, serving as tools for accessing
information, interacting with the environment, and
managing technology. However, the majority of these
interfaces are developed without considering users
with unique color perception characteristics, limiting
accessibility. In the work by Uvarov N.K. [17], it is noted
that approximately 8% of men and 0.5% of women
experience color vision deficiencies, emphasizing the
need for interfaces that account for such features.

Various types of visual impairments, including color
blindness, reduced ability to distinguish contrasting
colors, and age-related changes, hinder the perception
of digital information. Neglecting these factors
increases interaction complexity, causes cognitive
strain, and excludes certain user groups. This is
particularly significant in interfaces used in medicine,
education, and industrial production, where accurate
interaction directly impacts outcomes.

The creation of adaptive digital systems that consider
the physiological and psychological aspects of color
perception is becoming increasingly important. The
integration of interdisciplinary approaches, combining
knowledge from neuropsychology, color theory,
computer science, and interface design, paves the way
for solutions that address the needs of a broader
audience.

The purpose of this article is to provide
recommendations for the development of digital
product interfaces that accommodate users with
diverse forms of color perception.

METHODS

The issues of color perception and the creation of user
interfaces designed for individuals with various vision
characteristics occupy a significant place in modern
scientific research. An analysis of publications in this
field highlights three key areas: the development of
accessible interfaces for people with color blindness,
the study of color perception in digital environments,
and the creation of algorithms for evaluating and
automating color solutions.

Many scientific studies aim to remove barriers faced by
users with limitations in color palette perception when
interacting with digital interfaces. Geddes C. [1] revisits
the capabilities of existing color vision simulators and
formulates recommendations for their improvement.

Bonacin R., Reis J. C., and de Araujo R. J. [5] adopt an
ontological approach to enhance the usability and
accessibility of interfaces. Pinheiro M., Viana W., de Gois
Ribeiro Darin T. [7] focus on the development of games
suitable for users with color vision deficiencies,
demonstrating the potential of simulations in this area.

The challenge of distinguishing color combinations in
interfaces has become the subject of in-depth scientific
investigation. Kovesdi C. R. [2] proposes a tool for
analyzing the readability of color solutions, enabling the
assessment of their practical value. The study by Yang J.
et al. [3] explores the prediction of visual similarity
between palettes. The work of Kawashima S. et al. [12]
examines the influence of the visual field on color
perception. Methods for analyzing reactions to color
signals using electroencephalography are described by
Yang C. et al. [11]. These studies contribute to
understanding the mechanisms of perceiving color
stimuli.

A significant portion of scientific literature is dedicated
to developing tools and algorithms for working with
colors. Wang Z. et al. [6] analyze perceptual differences
in shades based on image processing. The study by
Pereira A. et al. [8] improves metrics for color
differentiation applied in computer analysis systems.
Weingerl P. [9] proposes methods for the automatic
generation of color themes. Wu M. [10] introduces
algorithms used in image processing. Liu S. and Yin G. [4]
describe the adaptation of color solutions in automotive
interfaces, exploring their practical implementation.
Additionally, the article by Uvarov N.K. [17] examines
the challenges encountered in optimizing applications
designed for use by individuals with color blindness.

Smith V. C. and Pokorny J., in their article [15], detail
processes related to color perception, examining the
physiological features and functioning of neural
structures. The authors describe the operation of
photoreceptors and the interactions of visual system
cells, providing insights into the nature of color
perception limitations. Materials from the Color
Blindness Awareness Organization [13], published on
the website www.colourblindawareness.org, explore
the nature of color blindness, describing its forms and
emphasizing educational and informational aspects.

Sutherland I. E. [14] highlights the role of color design in
enhancing user interaction with interfaces, emphasizing
how well-structured color schemes help organize the
structure of visual perception. In the work of Kelley
Gordon

[16],

available

on

the

website

www.nngroup.com, the impact of color accents on
highlighting key elements in interfaces is investigated,
demonstrating the importance of maintaining visual
balance. The UX design principles mentioned in the


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article stress the necessity of a harmonious approach
to color usage to improve the efficiency of user
interaction with systems.

Scientific studies illustrate the diversity of approaches
to exploring color characteristics and developing
adapted interfaces. However, challenges remain,
including the limitations of color vision simulators and
the insufficient universality of proposed algorithms
under real-world conditions. Greater attention is
needed to integrate discoveries in color perception
with technical developments and to implement
automated tools into practical products.

As a methodological basis, an analysis of scientific
literature was conducted, color adaptation methods
were examined, and the results of applying color vision
deviation simulators were reviewed.

RESULTS AND DISCUSSION

The foundation of human color perception lies in the
trichromatic system, which operates through three
types of retinal cone cells

S, M, and L. These cells are

sensitive to short-wavelength, medium-wavelength,
and long-wavelength light, respectively. However,
approximately eight percent of men and 0.5 percent of
women experience color vision deficiencies, such as
dichromatism and anomalous trichromatism.

Color perception plays a crucial role in designing digital
interfaces, as it determines usability, information
comprehensibility, and accessibility for diverse user
groups. The human visual system relies on three types
of photoreceptors

cones, each sensitive to specific

light wavelengths: red, green, and blue. This
mechanism forms the trichromatic system, which
underpins color models such as RGB, commonly used
in display screens. Additionally, designers often
employ the HSV model, which intuitively manages hue
and saturation parameters, aligning with human
perception [2,3].

One of the factors influencing interface perception is
the physiological characteristics of users. Color vision
deficiencies encompass a broad range of conditions,
including protanopia, deuteranopia, tritanopia, and
monochromatism. For instance, individuals with
protanopia struggle to distinguish between red and

green hues, while tritanopia affects the ability to
differentiate between blue and yellow. For such users,
interaction with interfaces becomes challenging
without adaptive solutions. Developers should test
projects using tools like Coblis and Color Oracle to assess
their usability for individuals with vision impairments
[1,5,7].

Color blindness results from the absence of one or more
of the three types of cone photoreceptor cells
responsible for color vision. This condition is primarily
hereditary, arising from genetic abnormalities, though it
may also result from various neurological injuries,
degenerative nervous system diseases such as

Parkinson’s or Alzheimer’s, or thyroid dysfunction.

Retinal photoreceptors contain specific proteins known
as chromoproteins, namely rhodopsin in rods and
iodopsin in cones. The genes responsible for "red" and
"green" iodopsins are located on the X chromosome,
with women having two copies and men only one. This
genetic arrangement explains the higher prevalence of
color blindness in men, while women, due to the
presence of a "reserve" X chromosome, exhibit the
condition significantly less frequently.

Seven types of color blindness are known:

The most common category includes four

variations associated with the red-green spectrum.

Two variations pertain to the blue-yellow

spectrum.

One variation is characterized by a complete

absence of color perception.

The most common form of color deficiency is red-green
color deficiency, often colloquially referred to as red-
green color blindness. This category includes four
distinct types:

Protanopia (red blindness): individuals lack red cone
cells.

Protanomaly (red weakness): individuals possess red
cones but have reduced sensitivity to certain shades of
red. Figures 1 and 2 below demonstrate normal vision
compared to Protanopia and Protanomaly, as well as a
comparison with Deuteranopia and Deuteranomaly [13-
16].


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Fig. 1. Normal vision compared to Protanopia and Protanomaly.

Fig. 2. Normal vision compared to Deuteranopia and Deuteranomaly.

Individuals with a deficiency in the green spectrum
often find it challenging to perceive green among
shades of blue or yellow, resulting in a blurred
perception. Conversely, those with difficulties in the
red spectrum struggle to distinguish red from orange
and brown, causing red and related hues to appear
faded.

Deficiencies in the blue-yellow spectrum are less
common than red-green deficiencies, and many

individuals are unaware of their existence. There are
two types of blue-yellow color blindness:

Tritanopia (blue blindness): individuals lack blue cone
cells.

Tritanomaly (blue weakness): individuals possess blue
cones but have reduced sensitivity to certain shades of
blue. Figure 3 below illustrates a comparison of normal

vision with Tritanopia and Tritanomaly.


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Fig. 3. Normal vision compared to Tritanopia and Tritanomaly

.

Individuals with deficiencies in the blue spectrum may
find it difficult to distinguish green among shades of
blue or red and yellow. Monochromacy, or
achromatopsia, represents a complete form of color

blindness, resulting in a black-and-white perception of
the world for individuals with this condition [6, 8]. Figure
4 below shows a comparison of normal vision with
monochromatic vision.

Fig. 4. Normal vision compared to Monochromacy.

Unlike

the

previously

discussed

conditions

characterized by the dysfunction of one type of cone
cell, tetrachromacy refers to the ability of certain
individuals to perceive a broader spectrum of colors
than typical "trichromatic" vision. Tetrachromacy
enables some individuals to distinguish colors invisible
to most. Unlike most trichromatic individuals,
tetrachromats possess four types of cone cells,
allowing them to perceive up to 100 million shades of
color

approximately 100 times more than normal

vision. Tetrachromacy is considered a rare genetic
phenomenon, predominantly affecting women.

It is estimated that up to 12% of women worldwide may
exhibit tetrachromacy, although no confirmed statistical
data exists. The presence of a "reserve" X chromosome
is critical for tetrachromatic vision; one X chromosome
must carry a normal copy of the gene, while the other
carries a mutated gene encoding a protein with a shifted
peak sensitivity toward the short-wavelength range
[11,12]. Figure 5 below illustrates a comparison of


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normal vision with tetrachromacy.

Fig. 5. Normal vision compared to Tetrachromacy.

When designing interfaces for digital products,
designers must understand the differences in color
perception and minimize the complexity of user
interaction with the interface.

The RGB color model, widely used in digital products,
leverages the human eye's response to red, green, and
blue light to reproduce and organize colors, aligning
them with natural color perception. There are
strategies to optimize interfaces for individuals with
varying visual capabilities.

Color contrast refers to the difference in brightness

between foreground and background colors. To ensure
optimal accessibility, it is recommended to use a
contrast ratio of 4.5:1 or higher between foreground
and background colors. This ratio facilitates text
recognition for individuals with moderately impaired
vision, enhancing their ability to distinguish between
text and its background. Additionally, emphasizing high-
contrast elements draws users' attention to the most
critical components of the interface [2,3]. Figure 6
below demonstrates the use of high-contrast elements.

Fig. 6. Using high-contrast elements.

To create a universal interface, it is recommended to
use a minimalist black-and-white design or a limited
palette of high-contrast colors. Colors with low
contrast for text, buttons, and backgrounds should be

avoided, as they may reduce the speed of information
processing. For instance, black text on a white
background provides a high level of contrast, thereby


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improving readability.

Developing high-contrast themes is a strategy
employed to enhance readability and usability for a
broader audience, including individuals with normal
vision, color blindness, vision impairments, and
tetrachromacy. While an interface operates as an

integrated structure, it is essential to organize a visual
hierarchy of elements, considering principles of
nonlinear reading. Hierarchy significantly influences the
order in which users perceive elements and the
organization of information [4,10]. Figure 7 illustrates
the use of component hierarchy.

Fig. 7. Using a hierarchy of components.

Hierarchical structures not only organize content and
provide order but also facilitate navigation.
Emphasizing certain elements directs the visual flow
and increases scanning speed, thereby highlighting key
information or expediting decision-making. In specific
contexts, a striking component that stands out from
other design elements can even prove life-saving.

Effective use of whitespace is a best practice that
highlights critical areas of an interface, guiding users on
where to begin tasks and the sequence in which

actions should be performed. Allocating more space to
the most important design aspects can achieve greater
impact.

The application of explicit and implicit grouping aids in
structuring a page, directing attention to actions most

relevant to the page’s purpose. A lack of grouping limits

the ability to emphasize standout elements; thus, it is
essential to organize navigation, content, toolbars, and
footers into distinct groups. Figure 8 demonstrates the
use of structure [6,8,9].


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Fig. 8. Using structure.

Digital technologies enable the adaptation of

interfaces to users’ personal preferences. Customizing

color schemes creates comfortable conditions for
information perception. Switching display modes

reduces eye strain and considers external lighting
conditions. Synchronization algorithms with device
parameters simplify interactions and eliminate the
need for manual adjustments.

Interface development requires careful consideration
of the perception characteristics of different user
groups. This involves employing contrasting color
palettes, conducting accessibility checks, and adhering
to standards that regulate usability. Additionally, tools
for adjusting visual parameters are provided. This
approach facilitates the creation of intuitive and
universal solutions. The integration of adaptive
technologies ensures that digital products are intuitive,
efficient, and capable of meeting the needs of a diverse
audience.

CONCLUSION

In conclusion, considering the features of color vision
is of paramount importance in the development of
digital interfaces to ensure accessibility and enhance
user experience for a diverse audience. By
understanding various forms of color perception, such
as color blindness, achromatopsia, and tetrachromacy,
designers can create interfaces that are not only

visually appealing but also functional for all users.

The implementation of strategies prioritizing high
contrast, clear hierarchical organization, and structured
information can significantly improve the usability of
digital products. As the global population continues to
include individuals with varying degrees of color
perception, it becomes increasingly important for
designers to adopt inclusive approaches that promote
equitable digital environments. Ultimately, accounting
for these considerations will lead to the creation of
more effective and user-friendly interfaces that meet
the needs of all users, fostering innovation and
inclusivity in the digital space.

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Yang J. et al. Predicting visual similarity between color palettes //Color Research & Application. – 2020. – Vol. 45. – No. 3. – pp. 401-408.

Liu S., Yin G. Research on Color Adaptation of Automobile Head-up Display Interface //2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA). – IEEE, 2021. – pp. 55-59.

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Wang Z. et al. Measuring perceptual color differences of smartphone photographs //IEEE Transactions on Pattern Analysis and Machine Intelligence. – 2023. – Vol. 45. – No. 8. – pp. 10114-10128.

Pinheiro M., Viana W., de Gois Ribeiro Darin T. Why Should Red and Green Never Be Seen? Exploring Color Blindness Simulations as Tools to Create Chromatically Accessible Games //Proceedings of the ACM on Human-Computer Interaction. – 2023. – Vol. 7. – no. CHI PLAY. – pp. 165-196.

Pereira A. et al. Efficient CIEDE2000-based color similarity decision for computer vision //IEEE Transactions on Circuits and Systems for Video Technology. – 2019. – Vol. 30. – No. 7. – pp. 2141-2154.

Weingerl P. Automated Image-Based User Interface Color Theme Generation //Applied Sciences. – 2024. – Vol. 14. – No. 7. – P. 2850.

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