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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.16341179 |
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Table of Contents:
- <p>This dataset supports a survey on mobile accessibility testing, comprising a master file that shows the 66 selected articles and six question-specific classification tables that capture the classification of these articles based on the six research questions proposed in our study.</p> <h3>Files and Structure</h3> <ol> <li> <p><strong>SelectedArticles.csv</strong><br>– <strong>Contents:</strong> Metadata for the 66 articles included in our survey (title, authors, venue, year, DOI/URL).<br>– <strong>Purpose:</strong> Provides the full list of sources forming the basis of our review.</p> </li> <li> <p><strong>RQ1-TargetCommunity.csv</strong><br>– <strong>Contents:</strong> For each article, the explicitly studied or beneficiary populations (e.g., visual, hearing, motor impairments).<br>– <strong>Purpose:</strong> Answers RQ1: “Which accessibility-related populations are explicitly studied or positioned as beneficiaries in accessibility evaluations of mobile apps?” and reveals inclusion gaps.</p> </li> <li> <p><strong>RQ2-MobileApplications.csv</strong><br>– <strong>Contents:</strong> The types of mobile applications evaluated in each study, categorized according to the Google Play Store taxonomy.<br>– <strong>Purpose:</strong> Maps research effort across app domains, highlighting popular versus under‑studied categories.</p> </li> <li> <p><strong>RQ3-AccessibilityGuideline.csv</strong><br>– <strong>Contents:</strong> Accessibility standards and guidelines (e.g., WCAG, Android Developer Guidelines) used in our selected articles.<br>– <strong>Purpose:</strong> Shows guideline adoption patterns in mobile accessibility evaluations.</p> </li> <li> <p><strong>RQ4-IssueCategory.csv</strong><br>– <strong>Contents:</strong> Accessibility issues reported in each study, tagged under the four WCAG POUR principles: Perceivable, Operable, Understandable, Robust.<br>– <strong>Purpose:</strong> Identifies the most common barriers and their distribution across POUR.</p> </li> <li> <p><strong>RQ5-Tools.csv</strong><br>– <strong>Contents:</strong> Automated and semi‑automated tools used (public vs. private), frequency of use in research, and whether they’re combined with manual or user‑centered methods.<br>– <strong>Purpose:</strong> Characterizes the current landscape of tool‑based mobile accessibility testing.</p> </li> <li> <p><strong>RQ6-StudiesWithHumans.csv</strong><br>– <strong>Contents:</strong> Details of studies involving human participants: study method, data-collection method, data analysis types, sample sizes, groups of participants, and study location.<br>– <strong>Purpose:</strong> Profiles methodological strengths and areas for improvement in human‑centered mobile accessibility research.</p> </li> </ol>