Dataset for Accessibility Challenges for Blind Users Authoring in Content Management Systems: An Empirical Study

Published: 15 September 2025| Version 2 | DOI: 10.17632/wsfmmw6294.2
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Description

This supplementary dataset provides full transparency and reproducibility for the empirical study titled "Accessibility Challenges for Blind Users Authoring in Content Management Systems: An Empirical Study". It contains all experimental data used to analyze the impact of different prompting strategies and input configurations in the automated remediation of web accessibility issues. The spreadsheet is organized into multiple sheets that document both manual and automated evaluations: Manual evaluation sheets report the results of expert assessments using the Barrier Walkthrough (BW) method, including severity levels (Minor, Significant, Critical) per variant and barrier. Summary graphs aggregate this data for visualization and interpretation. Automated evaluation sheets include metrics obtained from WAVE reporting the number of errors, alerts, and compliance indicators across variants. Evaluation with blind users sheet reports the results of assessments using the Direct Observation (DO) method, including user demographics, tasks definition, and feedback cards of all participants. Also contains the fully curated data resulting from the entire review process, including metadata for the selected primary studies, the search queries, filters used, inclusion/exclusion criteria, and the PRISMA checklist performed across the phases of the proposed method. Together, these materials support the reproducibility of the study and provide a structured foundation for future studies in the field of web accessibility.

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Institutions

Universidad Veracruzana

Categories

Artificial Intelligence, Disability, Web Application, Human-Computer Interaction

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