Examining Image-Based Button Labeling for Accessibility in Android Apps through Large-Scale Analysis

Examining Image-Based Button Labeling for Accessibility in Android Apps through Large-Scale Analysis
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通过大规模分析检查 Android 应用中基于图像的按钮标签的可访问性

DOI:
10.1145/3234695.3236364
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发表时间:
2018
期刊:
Proceedings of the ACM SIGACCESS Conference on Computers and Accessibility
影响因子:
--
通讯作者:
Wobbrock, Jacob O.
Wobbrock, Jacob O.
中科院分区:
--
文献类型:
--
作者:
Ross, Anne Spencer;Zhang, Xiaoyi;Fogarty, James;Wobbrock, Jacob O.

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我们对移动应用程序的可访问性进行了首次大规模分析,考察了这可以为移动应用程序可访问性的状态提供哪些独特的见解。我们分析了5753款基于标签的免费Android应用程序,将其分为三类基于图像的按钮:可点击图像、图像按钮和浮动动作按钮。流行病学启发的框架被用来组织调查。免费Android应用程序的数量被评估为基于标签的无法访问的按钮疾病。疾病的三个决定因素被考虑:缺失标签、重复标签和缺乏信息的标签。在应用程序和基于图像的按钮类别中,对障碍的流行率或出现频率进行了检查。在APP分析中,35.9%的分析应用程序有90%或更多的评估图像按钮被标记,45.9%的应用程序评估图像按钮标记不到10%,其余应用程序按照标记元素的比例相对均匀地分布。在类分析中,92.0%的浮动动作按钮被发现缺少标签,相比之下,图像按钮和可点击图像的这一比例分别为54.7%和86.3%。我们讨论如何在现有的治疗方法中解决这些可访问性障碍,包括可访问性发展指南。
We conduct the first large-scale analysis of the accessibility of mobile apps, examining what unique insights this can provide into the state of mobile app accessibility. We analyzed 5,753 free Android apps for label-based accessibility barriers in three classes of image-based buttons: Clickable Images, Image Buttons, and Floating Action Buttons. An epidemiology-inspired framework was used to structure the investigation. The population of free Android apps was assessed for label-based inaccessible button diseases. Three determinants of the disease were considered: missing labels, duplicate labels, and uninformative labels. The prevalence, or frequency of occurrences of barriers, was examined in apps and in classes of image-based buttons. In the app analysis, 35.9% of analyzed apps had 90% or more of their assessed image-based buttons labeled, 45.9% had less than 10% of assessed image-based buttons labeled, and the remaining apps were relatively uniformly distributed along the proportion of elements that were labeled. In the class analysis, 92.0% of Floating Action Buttons were found to have missing labels, compared to 54.7% of Image Buttons and 86.3% of Clickable Images. We discuss how these accessibility barriers are addressed in existing treatments, including accessibility development guidelines.
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