Costa, RitaMalveiro, BeatrizPalmeiro, JoãoBizarro, PedroKrone, MichaelLenti, SimoneSchmidt, Johanna2022-06-022022-06-022022978-3-03868-185-4https://doi.org/10.2312/evp.20221134https://diglib.eg.org:443/handle/10.2312/evp20221134Millions of people worldwide work in jobs where assessing dynamic data presented visually to them is a key part of their tasks. Since the data is only represented in a visual format, these occupations are out of reach for visually impaired people, making them unable to review hundreds of information-heavy cases per day and determine outcomes for each one in just a couple of minutes. In this work, we aim to shrink that gap by detailing the implementation of screen reader accessibility features to real-world visualizations used by fraud detection analysts. We propose a set of features that should be validated with users and, if proved to be useful, transformed into guidelines for creating these types of accessible charts.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing?Visualization; AccessibilityHumancentered computing?VisualizationAccessibility10.2312/evp.20221134115-1173 pages