Abstract
Mobile applications are based on interactive common UI elements that represents pointing targets visible on the screen. The usage of mobile applications in eyes-free scenarios or by individuals with vision impairments requires effective alternative access to visual elements, i.e. accessibility features. Previous works evaluated the accuracy of UI element’s identification by accessibility APIs on desktop applications reporting that only 74% of the targets were correctly identified, but no recent research evaluated the accuracy for similar mobile APIs. We present an empirical evaluation based on the Android accessibility API that computes the UI recognition accuracy rate on ten popular mobile applications. Our findings indicate that accessibility average recognition rate is 97%.
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Pichiliani, M. C., & Hirata, C. M. (2015). Evaluation of the Android accessibility API recognition rate towards a better user experience. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9175, pp. 340–349). Springer Verlag. https://doi.org/10.1007/978-3-319-20678-3_33
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