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INTERNATIONAL JOURNAL OF DATA SCIENCE AND MACHINE LEARNING (ISSN: 2692-5141)
Volume 05, Issue 02, 2025, pages 79-86
Published Date: - 16-08-2025
Doi: -
https://doi.org/10.55640/ijdsml-05-02-07
The Psychology of Visual Perception in Data Dashboards:
Designing for Impact
Dip Bharatbhai Patel
University of North America, Virginia, USA
Abstract
The paper is expansive on the psychology of visual perception in dashboards in a push to design for impact.
Visualization is a game of storytelling that ensures everything meets human perception in their designs. It is based
on building and developing better data visualizations to show how everything would be designed. It is explicit in
terms of interpreting and communicating information in making sure that everything is applied to how it works in
understanding different psychological requirements to show its application and use, based on improving how
information can be applied and improved to make sure that it fits what is expected, based on improved visual
impacts. Data interpretation works on processing data requirements to balance information delivery and aesthetics
in the data visualizations. The paper is key in providing information that starts with improving compelling visuals,
which come with improving the focus on data improvement and improving the essence that works on cognitive
load and balance for understanding and reducing clutter or distractions of the data visuals. Organizing and
improving information is an important aspect in ensuring that data visualization is effective and reliable, with
related data points being explicit and improved in how viewers or the audience view and relate to the information
being viewed. Case findings are that there lacks more knowledge in terms of how designing for impact is the future
for data visualizations to make visual impact key.
Key words
:
Psychology, Dashboards, Visual Cognition, Cognitive Load, Impact Design, Information Visualization,
User Experience, Data Storytelling.
1. Introduction
The topic of discussion is the psychology of visual perception within data dashboards as a push to solve what is
required to design for the best impact. Data visualization is a growing technology with so much development and
uses in many cases. Its application is huge in terms of what it can and would provide in the future, based on
understanding how to take advantage of everything it offers, depending on the use cases. Visual perception starts
with storytelling from the available data, based on a data-driven world already within. Understanding how to take
advantage of this stage would bring so much, depending on the ability to take the data to make best use of it. Visual
perception is a huge topic regarding what it provides in the data-driven world (
Burch & Schmid, 2024).
It further
implicates how we can understand the different factors that can be applied at this stage, engaging the audience
through developing top-notch data visualizations that would help deliver the best message as intended.
Data visualizations play a huge role in how different people would ultimately be able to understand different forms
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of data, to how different audiences would take different information. This paper provides so much information and
technical also simple steps in understanding the psychology that surrounds the visual perception in a push to
understanding how we can design for the best impact in a data driven push as data is the new world and taking
advantage of this trend would bring so much help in terms of the benefits. Visual perception is an important step
in offering our cognitive functions the best-case scenario in understanding the available information as preferred.
The paper further outlines the literature study to how the available research fits the topic at hand including how
we can use this visual perception to fit the best design for impact depending on the literature understanding and
how this paper can fit the literature gap as this is a new stage of development down with the discoverability of
impact that this research paper can offer. Furthermore, it drives what is expected to be the best research and my
position on how everything would work to achieve what is expected in the long run, based on the structure of the
information that it can offer. Relevance of the research paper in on how psychology can be used to help when
designing for impact
2.
Literature Review
1.
Science of Visual Data Communications
According to
Franconeri et al., (2021)
this is the first publication under study that provides related information,
showing the Science that stems from visual data communications. It is a good source of information as it provides
reports from many studies to show the creation and use of powerful but intuitive visualizations for the best study.
This research article by S. Franconeri and others provides much information regarding how the visual system can
extract complex and broad statistics to meet what is expected, while reducing errors and illusions from the same
data. Visualization study and literacy in terms of understanding how data can be used to communicate very
important factors and how everything should be done provides key considerations to how everything should be
done to meet the perceptions to understand and communicate facts and real information rather than
misconceptions.
The review article mostly focuses on designing visualizations that could be a good design for how everything should
be used to design better tools that are a good application for how everything would be used and provided based
on the value addition of all work. With all work done, it stems from providing all good perceptual literacy that would
be a good addition to how everything would be done to meet what is expected in the long run. This article is vital
in showing how visual accuracy, design, and implementation would offer the best in meeting the work that would
be powerful in providing a backbone for powerful visuals. It also provides information on how different visuals,
from graphs to pictograms, can best show accurate relations of information and how they can be used.
2.
User Perceptions on Data Dashboards
Sorapure (2023) focuses on user perceptions of actionability as this article mostly shows user perceptions of the
actionability that a data dashboard can bring. It brings important understanding to how different data options can
be applied to meet users' needs to support their data decision-making. The article used the interaction of COVID-
19 data with different users, showing the relevance of actions that the data would support, to show the data
responses and applications based on the criteria for best data uses. A data dashboard is key in providing all key
considerations on how data can be applied to work, based on the common use of data tools to create the best
intuitive dashboards to meet what is expected in the long run. This adds to how data can be used to design the best
interaction, depending on how users can understand, monitor, and use it for their direction and decisions.
Designing the best dashboard is a key step to how everything would be applied down with the use of different data
formats to meet what is expected, based on how data can be used to show data display and relation, which forms
a key use of how data can be understood to be used. Using this form helps with everything from how data decisions
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can be supported with the data to delivering what is expected with the presentation of data. Designing accurate
related data dashboards is a good way to ensure that everything is done to meet the interactions based on how
everything is applied, with knowledge of the audience to relate to how data can be applied through data
dashboards, and how each can be used.
3.
Digital Dashboards Application
Schulze et al., 92023) article places more relevance on creating digital dashboards as a key to visualizing data. In
this case, public health data was the main type used. The main creation of data started with the databases applied
to how data would be viewed to meet the studies, including user studies on how the data would be visualized,
ensuring the creation of respectful dashboards to meet what is required. Method of research including research on
different public electronic databases to find the different articles that can be applied to show the study of the
information based on the objectives of data uses, to elaborate on how the accuracy of dashboard data would
provide the best data uses. Using dashboards creates the best data elaboration to meet the visualized cases, based
on defining the best case to show the data implications and how each can be used effectively. Formulating the best
research on how data can be applied, based on showing the studies on how using the data dashboards creates the
best information on how each can be used.
4.
Actionable Visual Dashboards
According to Sethupathy, (2021), there is more information on how visual dashboards can be created to empower
the best intelligent decision-making through the use of real-time data platforms as the best option for use. A data-
driven world is growing rapidly, which offers the best in harnessing data to make the best dashboards and make all
the best decisions to meet what is expected based on dashboards. Data generation is an important step in providing
real-time generation of accurate data to meet what is expected based on the digital ecosystems, to meet
competition, and to apply everything to meet the data standards for the best understanding of complex data.
3.
Methodology
I.
Research Framework
This paper's relevance originates from data collection as the main source, providing all the framework sources I
used to find data for my study. The approach that I used was to using qualitative data as the main approach source
and quantitative data as the supportive measure in research to find facts and relevant information to support my
paper's information. Qualitative data research process was to find how study's significance would work by using
other study articles to offer background to the paper and considering how the data would be used and applied to
the paper. Using further original papers and other journals plus articles was a key step to offering quality peer-
reviewed and quality information to bring more legitimacy and relevance.
II.
Data Collection Methods
a)
Survey
One was the survey of existing dashboards as main topic to understand what could be improved by analyzing all
information options. Survey use was using the data to be supported with the writers on the subject of talk. Analysis
of other example or already accurate and well-designed dashboards was an important facet in collecting more data,
along with showing other opinions and views on how data can be applied in other ways to provide insights into how
data dashboards can be improved and scrutinized to find solutions to the main research topic on developing better
designs. Gathering data from the other research options was key in showing opinions and ideas on how data can
be used, generating and improving the main topic, and validating existing information, to understand what could
work, based on how others are creating their dashboards. Sample size of the data was massive from using more
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than one thousand documents and articles that were used to be sampled as the basis of this paper. Huge data to
sieve within to find application of data to serve as basis for the research paper.
Surveying other papers and articles offered so much arguments and information to make the basis of the paper
more elaborate and offer many conclusions on how each would be applied to assess and improve on the existing
research topic. Generating new data and views on how the creation of better designs of the dashboard would offer
many dashboards uses, based on showing trends and influence that methods and designs would bring, based on
further investigation and design improvement and uses. The main question is how we can improve dashboard
design for impact, and it suggests that its improvement would rely on more information being applied as a real
world use not just information. Surveys were important data source framework for my study on identifying what is
happening currently, based on generating more information to show the gaining of understanding, based on
information about variations, and stating the research application for the opinions and understanding of further
data investigation.
b)
Existing Data
Taking advantage of existing data was also key to the subject. Data sampling was an important push in improving
what would be probable regarding the processing to show the replication of how information research methods
would be elaborated based on the study, based on providing the best combination of available data. Input from
other data created the best study in ensuring that studying available data is a good approach to finding the data
more accurate and applicable during the research timeline and standards. Critically evaluating the available data
was a good way to find the best data for the research to come up with how data can be applied, showing validation
of data to ensure how data can be applied in the best cases. Sampling all the data was hard work in making sure
that it fits what is expected in maintaining research data as accurate as possible what was key and applied, as well
as selecting what was key and what was lacking with the available data on the research topic.
c)
Data Analysis
Data analysis was also used to show how the research data would apply to research topics and understand what
was working with the diverse data uses. Ensuring the duplicability of data in terms of relating to the subject topic
was key, as it was based on how these methods would be applied in the research on dashboards, with their influence
on research options. Ethical considerations about the data provided important steps on how the data is applied,
and how everything would work based on maintaining the best data analysis with integrity. The best use of data
was done with the way data would be applied down with sampling, and the use of data, either private or public,
was done legally and ethically, without using private data, and with fair use of all the published peer-reviewed
articles and journals.
4.
FINDINGS
More research on how visual perception psychology can be used to design for the best impact through data
dashboards is needed, as these are key considerations when making the best progress. The literature provides the
best moves to show what the best dashboard design can offer when used correctly. It all stems from using correct
and perfectly designed dashboards that provide the best direction for how everything is done in the best possible
way. The results are clear with so much data pushing in terms of the methodology that each brings to identifying
the best-case use of the available data in bringing clarity and information within this specific design. With a push of
all the available data to show relation and difference with all the research questions at hand, it is clear that a
research gap exists in bringing the best information about designing data dashboards that would offer the best
impact.
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Connecting the data from the other journals and available articles takes a more comprehensive approach to
researching more information on what it takes to find the right data to ensure that the information fits what is
missing. It all stems from understanding first the visual perception and psychology of how design affects the
performance and comprehension of the whole data, starting with showing relation and clarity with all available
data. It can be limiting in showing contribution and relevance with existing data; all talking about everything, but it
limits the best use of data in terms of sampling of data to fit what is expected, based on different data sources that
can meet the data gaps within research in this topic alone. The data is not specific regarding what it brings and
appealing to what is expected, as data dashboards offer the best option based on principles that help offer more
information that enables data interaction.
Using dashboards stems from providing different visual elements to be included in the same way, based on
influencing how different people relate to the information available, including the insights that could be made to
fit what is expected. So many visual elements can be considered to meet what is expected, such as making the best
decisions to meet the correct design appeal based on conveying information in the same way. Different aspects
that offer more attentiveness are attributed to the dashboards, providing the best approach with the information,
starting with the ability to offer the best information. An example would be the application of color that offers more
attention guiding in a procession to convey information by using different colors to offer more insights with
different data points, based on driving action to the data. There are so many principles that are elaborated and
organized with other components proposed with the user experience that data can offer, based on engaging with
how data is explored to meet the designed options. Applying the dashboards to create the best development with
communication insights based on improving action with the data, showing accessibility and improvement with the
data.
5.
DISCUSSION
Understanding how visual perception works brings more approaches to creating the best dashboards that generate
better images and visuals to help with audience comprehension. A good visual design produces better performance
regarding the value it can offer to the audience with better interaction. How data is applied within the specific
application, as without a good dashboard, it would bring more failure than success. The way that it is brought and
designed. Taking more initiative with perception and cognition provides so much-needed interruption that it can
offer in processing and ensuring that data is involved in the best means to meet what is required, as developing an
effective dashboard is so important when conveying information. Developing organized and intuitive dashboards is
a good way to ensure that information is based on designing the best functions that would appeal to how
information is shared and conveyed in the right manner, so that it functions properly (
Alhamadi et al., 2022).
Understanding how to improve attentive processing is a good way of designing for what can be applied as best
possible, meaning with the div to apply the data without limitations. Creating the best focus on an effective
unified approach is key in finding what would work based on completing dashboards to view data and meet the
created approach with information as desired. Finding the right balance starts with aligning design principles based
on spacing and proximity to how data is being applied to bring more consistency with the layout strategy, so the
information will align in the long run.
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Figure 1.1
The image above in Figure 1.1 illustrates an example of creating the best design that offers the best approach to
the information. Designing a dashboard should have all the best approaches, ensuring the design meets the best
contrast with how different information is being processed and what feedback would be given in the long run.
Impact of color and its role in helping with how data can be applied to show different data analytics, meeting what
is expected, based on how data can be communicated and applied to what works in the long run. Colors with a
simple design provide the best aspects of data design to meet the understanding of how different information and
applications are included, and how everything works, influencing perception to improve comprehension. The power
of simplicity cannot be underestimated in ensuring that the data visualization is applied best, focusing on data
rather than increasing distractions.
6.
Conclusion
Designing for impact is a good step towards how things can be done, based on creating actionable dashboards to
ensure that each aspect is based on how appealing visuals work with data dashboards. Understanding how
everything works is the best way to know how different people would comprehend and react to the data based on
layouts and impacts that would further influence their perception. Processing of data is just a simple way of ensuring
that everyone applies construal to visual experiences that others would bring as a desired reaction to data,
influencing visual perception. Understanding psychology of design starts with knowing how different people react
to the information based on how it is applied to different data dashboards that relate to comprehension the
creation of visual improvement that elaborates the focus that offers the best interpretation of data.
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Simplicity of dashboard design is key to knowing how information structure and clarity helps ensure that
comparison of everything is plausible and that it shapes different forms of information (
Hehman & Xie, 2021).
Designing for the best clarity for audiences is a significant step in ensuring the dashboard is as simple as the one
designed, avoiding clutter and distractions that can impact how information is processed and understood. Providing
design helps with highlighting what would work, considering how everything would be accessible, and placing it by
visualizing what is expected, with a well-built dashboard that helps find information as the best options for
audiences. Dashboard design goal should be about communication, as the main goal is to convey information to
audiences. Therefore, having the best actionable data visuals creates a possible story with the data available as the
best-case scenario of communicating information easily. The main goal of avoiding confusion or misunderstanding
is creating the best dashboards that should elaborate on what is expected without compromising design and appeal,
which is the main case for use.
With the research paper report, more information starts from creating a simple data dashboard that provides the
best way in creating designs that have huge impact, starting with reading context and application, which starts with
optimizing how data visualizations will be done in the long run. The focus mainly stems from finding out how
creating good dashboards would enable people to read, see, and using best designed dashboards, while fixing how
data is being used without misreading or creating distractions. Understanding the human layer is the key to
designing dashboards for the best impact, which is required to improve performance for the available data
dashboards in a related drive for creating correct but simple interpretation of the same designs. Finding the perfect
balance between the dashboard and the interpretation creates what is expected to add with interpretation and
comprehension that starts with improving how mentally audiences would take the data, compared to conveying
information to them. With more research, it offers so much data on how designs would be improved by leaning
psychology of visual perception and application of data dashboards to make decisions from the dashboards easier.
Dashboard interpretation from audience view is the best approach that designing for impact would need to have.
Designing the right dashboard requires everything to ensure that structure and design meets what is expected in
terms of how data can be applied, tricking the brain to interpret information faster and easier without overload. It
brings a center of what it would provide to meet the decision-making that an audience would require to all aspects
to align with what is expected of the dashboards. Priming use of psychology creates all that is needed by capitalizing
on using different visual requirements based on designing dashboards, which work with different patterns and
insights into designing best work. The literature is on point, and it drives the relation of human psychology with
comparison on improving dashboard design and how it can be applied and improved with this research emphasis
on psychology of visual perception. It is all a good application of how we can recognize how humans can understand
the different data on display without confusion and find the right balance for everything to work as intended. This
research paper can offer so many gaps in the research options to understand the gap in understanding the
correlation between dashboard design and human psychology. Its application is huge and would ultimately help
steer more relations with how data can be applied and offer cohesiveness with how this research paper helps bridge
the huge gap in this section (
Oberascher et al., 2023).
7.
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