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This study improved web map traffic colors for color vision deficient users. Adjustments ensure better map readability for everyone, enhancing universal design principles.

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Area of Science:

  • Cartography
  • Human-Computer Interaction
  • Vision Science

Background:

  • Web map services commonly use color-coding for traffic information.
  • Color vision deficiencies affect a significant portion of the population, potentially hindering map interpretation.
  • Existing color schemes may not adequately accommodate users with color vision impairments.

Purpose of the Study:

  • To evaluate the effectiveness of current color coding in web map traffic services for individuals with color vision deficiencies.
  • To propose optimized color palettes that improve map readability for a wider audience, including those with color vision impairments.

Main Methods:

  • Simulations of various color vision deficiency profiles were used to assess existing color schemes.
  • Principles of universal design were applied to guide color selection and adjustment.
  • Readability assessments were conducted based on simulated user profiles.

Main Results:

  • The current color coding of web map traffic information was found to be suboptimal for certain color vision deficiency profiles.
  • Proposed color adjustments significantly enhance map readability for simulated color vision deficient observers.
  • The revised color schemes adhere to universal design principles, benefiting all users.

Conclusions:

  • Web map traffic information services require accessible color design for effective communication.
  • Adjusting color palettes based on simulated color vision deficiencies improves map usability.
  • Implementing these color adjustments promotes inclusivity and enhances the user experience for all map users.