Visual design elements for data storytelling based on personality traits: a case of undergraduate students
Prior studies found a strong correlation between a user's preference for information visualization and the variances in their personality. Visualization software have evolved recently and have given users a number of advantages. Although the usability aspects of visualization software have...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Asia Pacific University
2023
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/103430/2/103430_Visual%20design%20elements%20for%20data%20storytelling.pdf http://irep.iium.edu.my/103430/ https://dif7uuh3zqcps.cloudfront.net/wp-content/uploads/sites/11/2023/01/21104241/Volume7_Issue1_Paper9_2023.pdf |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |
| Summary: | Prior studies found a strong correlation between
a user's preference for information visualization and the
variances in their personality. Visualization software have
evolved recently and have given users a number of advantages.
Although the usability aspects of visualization software have
advanced significantly, they previously adopted a more general
approach with their user interface and ignored user variations.
There is a dearth of prior study examining user traits and
preferred visual data storytelling elements. The use of individual
variations as an adaptation metric in visualization tools has
shown promise in overcoming the drawbacks of general
approach from the user interface of visualization tools. This
study intends to investigate into how users' preferences from the
various visual design elements for storytelling relate to their
personalities among university students in one institution. The
study investigates whether personality affects user preferences
for various visual design elements such as font type, font size,
hierarchical, and comparative visualizations, which are
extensively used in contemporary research and are associated
with personality. To this end, a personality indicator will be
performed to gauge each participant's personality. The
participants will next answer a different series of questions on
their preferences in visual design elements for data visualization
and storytelling. This study may help to address the general
issue with visualization tools and may suggest significant
implications that may be used in the future design of
visualization tools to improve the intuitiveness of the tool to suit
various type of users, as well as for the visualization designers
by choosing the best graphical visualizations for any given target
audience to provide greater comprehension of the information
in making critical decisions |
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