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:
影响因子:
--
通讯作者:
Wobbrock, Jacob O.
中科院分区:
文献类型:
--
作者:
Ross, Anne Spencer;Zhang, Xiaoyi;Fogarty, James;Wobbrock, Jacob O.
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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发表时间:
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期刊:
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影响因子:
--
作者:
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