一句话：提出自动检测并定位 Web 应用键盘可访问性失效的技术，在真实网页上实现高精度与高召回。
键盘是残障人士可使用且支持最广的输入方式，但许多流行网站缺乏键盘可访问机制，可能导致网站不可用。本文提出一种自动检测并定位 Web 应用中键盘可访问性失效的新方法。该方法面向真实 Web 页面，旨在发现键盘操作失败并进一步识别导致这些问题的底层页面元素。作者在真实世界网页上进行了广泛评估，结果表明该技术能够以高精度和高召回检测键盘失效，并能准确指出造成观测问题的页面元素。这些结果说明自动化的键盘可访问性检测与定位有助于发现并修复 Web 应用中的可访问性障碍。
The keyboard is the most universally supported input method operable by people with disabilities. Yet, many popular websites lack keyboard accessible mechanism, which could cause failures that make the website unusable. In this paper, we present a novel approach for automatically detecting and localizing keyboard accessibility failures in web applications. Our extensive evaluation of our technique on real world web pages showed that our technique was able to detect keyboard failures in web applications with high precision and recall and was able to accurately identify the underlying elements in the web pages that led to the observed problems.