Web accessibility automatic evaluation tools: to what extent can they be automated?

被引：7

作者：

Abu Doush, Iyad ^{[1
,2
]}

Sultan, Khalid ^{[1
]}

Al-Betar, Mohammed Azmi ^{[3
]}

Almeraj, Zainab ^{[4
]}

Alyasseri, Zaid Abdi Alkareem ^{[5
]}

Awadallah, Mohammed A. ^{[6
]}

机构：

[1] Amer Univ Kuwait, Coll Engn & Appl Sci, Salmiya, Kuwait

[2] Yarmouk Univ, Comp Sci Dept, Irbid, Jordan

[3] Ajman Univ, Dept Informat Technol, Ajman, U Arab Emirates

[4] Kuwait Univ, Informat Sci Dept, Adailiya, Kuwait

[5] Univ Kufa, ECE Dept, Najaf, Iraq

[6] Al Aqsa Univ, Dept Comp Sci, Gaza, Palestine

来源：

CCF TRANSACTIONS ON PERVASIVE COMPUTING AND INTERACTION | 2023年 / 5卷 / 03期

关键词：

Web accessibility; Automatic evaluation tools; Performance indicators; Web content accessibility guidelines; USABILITY; WEBSITES;

D O I：

10.1007/s42486-023-00127-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Web accessibility automatic evaluation tools (WAET) are used to evaluate the conformance of the web content to the web content accessibility guidelines (WCAG) success criteria (SC). This paper aims to identify performance criteria that can be used to compare between automatic web accessibility evaluation tools (WAET), determine which SC can be automatically tested based on current technologies, which one requires more advanced technologies, and how can WAET reduce the number of mistakenly reported errors. WCAG 2.1 SC level-A, AA, and AAA are analyzed. The obtained results help in exploring new directions that can lead to more efficient and reliable automatic Web contents assessment as well as development tools. The outcome can help the developers of WAET to increase the number of SC checked in their tools by utilizing cutting-edge technologies. In addition, the presented performance indicators can help to identify how to measure the performance of WAET.

引用

页码：288 / 320

页数：33

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