Abstract
Automated accessibility evaluation will have an increasingly important role in the near future due to legal requirements to monitor the accessibility of the websites of public bodies in the European Union. However, automated evaluation tools are still limited in the scope of the conformance testing they are able to perform. Future solutions resorting to AI based techniques might help in addressing some of these limitations. In this paper we present an updated version of an algorithm that classifies the quality, from an accessibility perspective, of alternative texts for images in web pages. We evaluated the proposed algorithm on a set of 149 images and their corresponding alternative texts and found improved performance compared to the initial version of the algorithm.
| Original language | English (US) |
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| Title of host publication | Proceedings of the 16th Web For All 2019 Personalization - Personalizing the Web, W4A 2019 |
| Publisher | Association for Computing Machinery, Inc |
| ISBN (Electronic) | 9781450367165 |
| DOIs | |
| State | Published - May 13 2019 |
| Event | 16th International Web for All Conference: Personalization - Personalizing the Web, W4A 2019 - San Francisco, United States Duration: May 13 2019 → May 15 2019 |
Publication series
| Name | Proceedings of the 16th Web For All 2019 Personalization - Personalizing the Web, W4A 2019 |
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Conference
| Conference | 16th International Web for All Conference: Personalization - Personalizing the Web, W4A 2019 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 05/13/19 → 05/15/19 |
Bibliographical note
Publisher Copyright:© 2019 Copyright is held by the owner/author(s).
Keywords
- Algorithm
- Alternative text
- Automatic accessibility evaluation
- Images
- Semantic analysis
ASJC Scopus subject areas
- Computer Networks and Communications