A validation study regarding a generative approach in choosing appropriate colors for impaired users

Area of Science:

• Human-Computer Interaction
• Accessibility Design
• Computational Intelligence

Background:

• Color is crucial for conveying information, but color vision disorders impede access to digital services.
• Designing accessible interfaces is challenging for designers without color vision impairments.
• Maintaining aesthetically pleasing color palettes is essential for user engagement.

Purpose of the Study:

• To experimentally validate a generative approach using evolutionary computing for accessible color design.
• To demonstrate the benefits of this approach for both interface designers and users with color vision impairments.

Main Methods:

• Investigated a generative approach driven by evolutionary computing.
• Focused on supporting interface designers in creating accessible color choices.
• Conducted experimental validation of the approach's effectiveness.

Main Results:

• The evolutionary computing approach provides tangible benefits to designers.
• Users with color vision impairments experience improved accessibility.
• Accessible design does not necessitate compromising on visually appealing color schemes.

Conclusions:

• The generative evolutionary computing approach is a beneficial tool for creating accessible color palettes.
• This method successfully addresses the challenge of designing for color vision impairments while preserving aesthetic quality.
• The experimental validation confirms the practical utility and positive impact of the approach for designers and users alike.