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A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
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User Perception and Eye Movement on A Pandemic Data Visualization Dashboard.

Yu-Wen Huang1, Yu-Ju Yang2, Wei Jeng1

  • 1National Taiwan University Taiwan.

Proceedings of the Association for Information Science and Technology. Association for Information Science and Technology
|January 30, 2023
PubMed
Summary
This summary is machine-generated.

Users interacting with COVID-19 dashboards seek quick pandemic trends and regional data. Design recommendations emphasize alarming yet non-panicked colors and acknowledge attention shifts from charts to text.

Keywords:
COVID‐19Data visualization dashboardeye‐tracking experimentinformation designpandemic visualization

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Area of Science:

  • Human-Computer Interaction
  • Information Visualization
  • Cognitive Psychology

Background:

  • Effective data visualization is crucial for public health information dissemination.
  • COVID-19 dashboards present complex epidemiological data to diverse users.
  • Understanding user perception and cognition is key to optimizing dashboard design.

Purpose of the Study:

  • To explore user perceptual and cognitive states while interacting with a COVID-19 dashboard.
  • To identify user expectations for obtaining outbreak information.
  • To inform design implications for future data visualization and disaster dashboards.

Main Methods:

  • A two-phase user experiment involving 27 participants.
  • Phase one: Interaction with dashboards featuring varied color arrangements for specific visualization tasks.
  • Phase two: Eye-tracking experiment to analyze visual attention patterns.

Main Results:

  • Users expect dashboards to provide both global trends and specific regional/temporal data for rapid information acquisition.
  • User attention allocation varied based on individual visual and reading patterns.
  • Eye-tracking revealed unexpected attention clustering around text and headings, not primarily on data visualizations.
  • Preferred color schemes were alarming but avoided inducing panic.

Conclusions:

  • User interaction with COVID-19 dashboards is influenced by a desire for efficient information retrieval and individual cognitive processes.
  • Dashboard design should consider user expectations for data scope and prioritize clear textual information alongside visualizations.
  • Color choices in public health dashboards should balance urgency with user emotional responses.