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Towards developing a framework for automated accessibility evaluation of web content from expert perspectives

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Proposed framework assesses web accessibility using expert perspectives, suggesting AI techniques improve evaluation.

The proposed framework evaluates web accessibility, enhancing report accuracy by integrating expert perspectives.
Fifteen evaluation criteria sourced from web experts guide the accessibility assessment for better user experiences.
The framework follows a three-phase method involving criterion identification, evaluation execution, and validation.
Dynamic in nature, the method can adapt to various platforms to evaluate multiple web pages efficiently.

Ara et al. (2025) studied this question.

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