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I am basing my research in a novel epidemiology-inspired framework that we developed for structuring the examination of mobile application accessibility. It frames accessibility as a product of diverse factors within the rich ecosystem in which applications are created, maintained, and used. The framework proposes large-scale analysis as a method for understanding the state of accessibility. My completed work applies this framework by conducting a large-scale analysis of an existing dataset of Android applications, assessing them for label-based accessibility barriers on image-based buttons. My future work will extend this research to analyze current applications at scale and expand the accessibility barriers that are tested for.<\/jats:p>","DOI":"10.1145\/3386402.3386408","type":"journal-article","created":{"date-parts":[[2020,3,3]],"date-time":"2020-03-03T22:48:53Z","timestamp":1583275733000},"page":"1-1","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["An epidemiology-inspired, large-scale analysis of mobile app accessibility"],"prefix":"10.1145","author":[{"given":"Anne Spencer","family":"Ross","sequence":"first","affiliation":[{"name":"University of Washington, Seattle"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,3,3]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Apple Accessibility Scanner."},{"key":"e_1_2_1_2_1","volume-title":"Accessibility Programming Guide for iOS","author":"Apple Inc.","year":"2012","unstructured":"Apple Inc. 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