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Increasing web accessibility by automatically judging alternative text quality

Published: 28 January 2007 Publication History

Abstract

The lack of appropriate alternative text for web images remains a problem for blind users and others accessing the web with non-visual interfaces. The content contained within web images is vital for understanding many web sites but the majority are assigned either inaccurate alternative text or none at all. The capability to automatically judge the quality of alternative text has the promise to dramatically improve the accessibility of the web by bringing intelligence to three categories of interfaces: tools that help web authors verify that they have provided adequate alternative text for web images, systems that automatically produce and insert alternative text for web images, and screen reading software. In this paper we describe a classifier capable of measuring the quality of alternative text given only a few labeled training examples by automatically considering the image context.

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Cited By

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  • (2024)The Promise and Pitfalls of Web Accessibility Overlays for Blind and Low Vision UsersProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675650(1-12)Online publication date: 27-Oct-2024
  • (2023)Detecting Deceptive Dark-Pattern Web Advertisements for Blind Screen-Reader UsersJournal of Imaging10.3390/jimaging91102399:11(239)Online publication date: 6-Nov-2023
  • (2023)WATAA: Web Alternative Text Authoring Assistant for Improving Web Content AccessibilityCompanion Proceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581754.3584127(41-45)Online publication date: 27-Mar-2023
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      cover image ACM Conferences
      IUI '07: Proceedings of the 12th international conference on Intelligent user interfaces
      January 2007
      388 pages
      ISBN:1595934812
      DOI:10.1145/1216295
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      Published: 28 January 2007

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      1. alternative text
      2. web accessibility

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      View all
      • (2024)The Promise and Pitfalls of Web Accessibility Overlays for Blind and Low Vision UsersProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675650(1-12)Online publication date: 27-Oct-2024
      • (2023)Detecting Deceptive Dark-Pattern Web Advertisements for Blind Screen-Reader UsersJournal of Imaging10.3390/jimaging91102399:11(239)Online publication date: 6-Nov-2023
      • (2023)WATAA: Web Alternative Text Authoring Assistant for Improving Web Content AccessibilityCompanion Proceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581754.3584127(41-45)Online publication date: 27-Mar-2023
      • (2022)A transformer-based deep learning model for evaluation of accessibility of image descriptionsProceedings of the 2022 14th International Conference on Machine Learning and Computing10.1145/3529836.3529856(28-33)Online publication date: 18-Feb-2022
      • (2022)Developing a Corpus of Hierarchically Classified STEM Images for Accessibility PurposesComputers Helping People with Special Needs10.1007/978-3-031-08648-9_8(56-62)Online publication date: 1-Jul-2022
      • (2021)A Neural Network Model and Framework for an Automatic Evaluation of Image Descriptions based on NCAM Image Accessibility GuidelinesProceedings of the 2021 4th Artificial Intelligence and Cloud Computing Conference10.1145/3508259.3508269(68-73)Online publication date: 17-Dec-2021
      • (2021)Evaluating web accessibility of educational institutions websites using a variable magnitude approachUniversal Access in the Information Society10.1007/s10209-021-00812-422:1(241-250)Online publication date: 7-May-2021
      • (2019)TranscodingWeb Accessibility10.1007/978-1-4471-7440-0_30(569-602)Online publication date: 4-Jun-2019
      • (2018)Caption CrawlerProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174092(1-11)Online publication date: 21-Apr-2018
      • (2018)Architectural Metamodel for Requirements of Images Accessibility in Online Editors2018 International Conference on Information Systems and Computer Science (INCISCOS)10.1109/INCISCOS.2018.00052(312-319)Online publication date: Nov-2018
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