OPTIMAL-EM: Optimised Population Sourcing for Web Accessibility Evaluation

被引:2
|
作者
Hambley, Alexander [1 ]
Yesilada, Yeliz [2 ]
Vigo, Markel [1 ]
Harper, Simon [1 ]
机构
[1] Univ Manchester, Manchester, Lancs, England
[2] Middle East Tech Univ, Northern Cyprus Campus, Nicosia, Cyprus
来源
20TH INTERNATIONAL WEB FOR ALL CONFERENCE, W4A 2023 | 2023年
关键词
Accessibility; Automated evaluation; Sampling; Clustering;
D O I
10.1145/3587281.3587962
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a prototypical accessibility tool and associated framework. Our tool supports a framework of six metrics: coverage, representativeness, complexity, popularity, freshness and accessibility, designed to optimise the web accessibility evaluation process through representative pages. We divided our tool into three stages: an initial step focused on crawling and downloading pages to run preliminary clustering. The second step calculates the complexity of the population, and the third stage calculates the sample size and produces a final report. Our approach significantly reduces the number of pages an auditor must review, as they will inspect a page representative of the others in their cluster. Collectively, these clusters are statistically representative of the pages in the target population.
引用
收藏
页码:171 / 172
页数:2
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