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P2 Automatically Detecting Reflow Accessibility Issues in Responsive Web Pages

自动检测响应式网页中的 Reflow 无障碍问题
ICSE Proceedings of the IEEE/ACM 46th International Conference on Software Engineering2024匹配度 1/10 · 论文聚焦响应式网页中键盘用户重排无障碍问题的自动检测,属于Web可访问性测试领域;与用户关注的PL/AI交叉、静态分析、LLM/Agent、浮点程序分析及贝叶斯程序分析等方向没有直接交集。引用 13 inbox
Paul T. Chiou, Robert Winn, Ali S. Alotaibi, William G. J. Halfond
crossref: 2026-09-12

AI 速览

一句话:提出自动检测响应式网页中键盘用户重排无障碍问题的技术,效果优于现有方法。

响应式设计会根据屏幕尺寸调整网页视图,但残疾用户常通过桌面缩放或较小视口使用替代视图。若网页未能在不同屏幕尺寸下正确调整内容,不同版本间会出现内容与功能丢失,形成重排无障碍问题;近期研究表明这是现代网页中最普遍的无障碍问题之一。本文提出一种新颖的自动化技术,面向键盘用户自动检测网页中的重排无障碍问题。该方法在真实网页上进行了评估,能够有效检测此类问题,并优于当前最先进的技术。

问题
响应式网页若未正确适配不同屏幕尺寸,会导致替代视图中的内容与功能丢失,产生重排无障碍问题,尤其影响键盘用户。
方法
论文提出一种自动化检测技术,用于在网页中识别面向键盘用户的重排无障碍问题。
评估
在真实网页上与现有最先进技术对比评估,证明其检测有效性更优。
原文摘要(Abstract)

Many web applications today use responsive design to adjust the view of web pages to match the screen size of end users. People with disabilities often use an alternative view either due to zooming on a desktop device to enlarge text or viewing within a smaller viewport when using assistive technologies. When web pages are not implemented to correctly adjust the page's content across different screen sizes, it can lead to both a loss of content and functionalities between the different versions. Recent studies show that these reflow accessibility issues are among the most prevalent modern web accessibility issues. In this paper, we present a novel automated technique to automatically detect reflow accessibility issues in web pages for keyboard users. The evaluation of our approach on real-world web pages demonstrated its effectiveness in detecting reflow accessibility issues, outperforming state-of-the-art techniques.

链接与引用

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BibTeX
@inproceedings{paperbot11361,
  title = {Automatically Detecting Reflow Accessibility Issues in Responsive Web Pages},
  author = {Paul T. Chiou and Robert Winn and Ali S. Alotaibi and William G. J. Halfond},
  booktitle = {ICSE},
  year = {2024},
  doi = {10.1145/3597503.3639229}
}