Elavsky Frank, Nadolskis Lucas, Moritz Dominik
IEEE Trans Vis Comput Graph. 2024 Jan;30(1):803-813. doi: 10.1109/TVCG.2023.3327393. Epub 2023 Dec 25.
Making data visualizations accessible for people with disabilities remains a significant challenge in current practitioner efforts. Existing visualizations often lack an underlying navigable structure, fail to engage necessary input modalities, and rely heavily on visual-only rendering practices. These limitations exclude people with disabilities, especially users of assistive technologies. To address these challenges, we present Data Navigator: a system built on a dynamic graph structure, enabling developers to construct navigable lists, trees, graphs, and flows as well as spatial, diagrammatic, and geographic relations. Data Navigator supports a wide range of input modalities: screen reader, keyboard, speech, gesture detection, and even fabricated assistive devices. We present 3 case examples with Data Navigator, demonstrating we can provide accessible navigation structures on top of raster images, integrate with existing toolkits at scale, and rapidly develop novel prototypes. Data Navigator is a step towards making accessible data visualizations easier to design and implement.
对于当前的从业者来说,使残疾人士能够访问数据可视化仍然是一项重大挑战。现有的可视化通常缺乏底层的可导航结构,无法采用必要的输入方式,并且严重依赖仅视觉呈现的做法。这些限制将残疾人士排除在外,尤其是辅助技术的用户。为应对这些挑战,我们推出了数据导航器(Data Navigator):一个基于动态图形结构构建的系统,使开发人员能够构建可导航的列表、树、图形和流程,以及空间、图表和地理关系。数据导航器支持多种输入方式:屏幕阅读器、键盘、语音、手势检测,甚至是特制的辅助设备。我们展示了3个使用数据导航器的案例,证明我们可以在光栅图像之上提供可访问的导航结构,大规模地与现有工具包集成,并快速开发新颖的原型。数据导航器朝着使可访问的数据可视化更易于设计和实现迈出了一步。