Study explores AI for filtering low-accessibility web pages

By PulseAugur Editorial · [1 sources] · 2026-06-20 15:23

Researchers have developed a feasibility study for automatically filtering low-accessibility web pages, specifically addressing color vision deficiency. Their prediction model achieved a maximum Area Under the Curve (AUC) of 0.76 in identifying such pages. This work aims to enhance web accessibility by incorporating Color Universal Design (CUD) principles. AI

RANK_REASON The cluster contains a single academic paper on a specific technical topic. [lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Masateru Tsunoda · 2026-06-20 15:23

A feasibility study on filtering low-accessibility web pages considering color vision deficiency

Recently, the importance of universal design has increased. Color universal design (CUD) is one type of universal design that takes people with color vision deficiency (CVD) into consideration. Websites are important media for providing various types of information and functions.…