WATAA: Web Alternative Text Authoring Assistant for Improving Web Content Accessibility

Hyeonhak Jeong, Minki Chun, Hyunmin Lee, Seung Young Oh, Hyunggu Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Alternative (alt) text is essential for people with visual impairments to acquire information about image content through a screen reader. However, collecting images and creating alt text requires time and effort. To deal with this problem, automatically collecting images that have no alt text is essential to ensure that all image content in a web page has their alt text. Additionally, automatic alt text has limitations in accuracy and quality compared to human-created alt text despite the improvements in image recognition and natural language process technology. We present WATAA, a web alt text authoring assistant that collects images containing no alt text and suggests automatic alt text to help human alt text authors improve a web page's accessibility.

Original languageEnglish
Title of host publicationIUI 2023 - Companion Proceedings of the 28th International Conference on Intelligent User Interfaces
PublisherAssociation for Computing Machinery
Pages41-45
Number of pages5
ISBN (Electronic)9798400701078
DOIs
StatePublished - 27 Mar 2023
Event28th International Conference on Intelligent User Interfaces, IUI 2023 - Sydney, Australia
Duration: 27 Mar 202331 Mar 2023

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference28th International Conference on Intelligent User Interfaces, IUI 2023
Country/TerritoryAustralia
CitySydney
Period27/03/2331/03/23

Keywords

  • alt text authoring
  • automatic accessibility evaluation
  • image captioning
  • web accessibility

Fingerprint

Dive into the research topics of 'WATAA: Web Alternative Text Authoring Assistant for Improving Web Content Accessibility'. Together they form a unique fingerprint.

Cite this