Context-Adaptive Color Optimization for Web Accessibility: Balancing Perceptual Fidelity and Functional Requirements
Lalitha A R

TL;DR
This paper introduces context-adaptive color optimization techniques that improve web accessibility compliance by balancing perceptual fidelity and functional requirements, achieving higher success rates across diverse use cases.
Contribution
It presents recursive and fallback optimization modes that adapt constraints based on context, significantly enhancing accessibility success rates while preserving brand color identity.
Findings
Achieved 93.68% success rate with recursive optimization
Reached 98.73% success with fallback mode
Maintained median perceptual change at zero across modes
Abstract
We extend our OKLCH-based accessibility optimization with context-adaptive constraint strategies that achieve near-universal success rates across diverse use cases. Our original strict algorithm reached 66-77% success by prioritizing minimal perceptual change (), optimizing for enterprise contexts where brand fidelity is paramount. However, this one-size-fits-all approach fails to serve the broader ecosystem of web developers who need accessible solutions even when strict perceptual constraints cannot be satisfied. We introduce recursive optimization (Mode~1) that compounds small adjustments across iterations, achieving 93.68% success on all color pairs and 100% success on reasonable pairs (contrast ratio ), representing a +27.23 percentage point improvement. A relaxed fallback mode (Mode~2) handles pathological edge cases, reaching 98.73% overall success.…
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Taxonomy
TopicsDigital Accessibility for Disabilities · Tactile and Sensory Interactions · Technology Use by Older Adults
