参见图表:通过交互式自然语言界面为视障人士提供可访问的可视化

Md. Zubair Ibne Alam, Shehnaz Islam, Enamul Hoque
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引用次数: 1

摘要

基于web的数据可视化在探索数据和交流见解方面变得非常流行。报纸、期刊和报告定期发布可视化,用数据讲述引人注目的故事。不幸的是,大多数可视化对有视觉障碍的读者来说是无法理解的。对于网络上的许多图表,没有附带的替代(alt)文本,即使存在这样的文本,它们也不能充分描述图表的重要见解。为了解决这个问题,我们首先采访了15位盲人用户,以了解他们在阅读数据可视化时面临的挑战和需求。基于这些访谈的见解,我们开发了SeeChart,这是一个交互式工具,可以自动从网页上解构图表,然后通过让盲人听到图表摘要以及使用键盘通过数据点进行交互,将它们转换为可访问的可视化。我们对14名盲人参与者的评估表明,SeeChart在理解图表中的关键见解和满足他们的信息需求方面是有效的,同时减少了他们所需的时间和认知负担。
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SeeChart: Enabling Accessible Visualizations Through Interactive Natural Language Interface For People with Visual Impairments
Web-based data visualizations have become very popular for exploring data and communicating insights. Newspapers, journals, and reports regularly publish visualizations to tell compelling stories with data. Unfortunately, most visualizations are inaccessible to readers with visual impairments. For many charts on the web, there are no accompanying alternative (alt) texts, and even if such texts exist they do not adequately describe important insights from charts. To address the problem, we first interviewed 15 blind users to understand their challenges and requirements for reading data visualizations. Based on the insights from these interviews, we developed SeeChart, an interactive tool that automatically deconstructs charts from web pages and then converts them to accessible visualizations for blind people by enabling them to hear the chart summary as well as to interact through data points using the keyboard. Our evaluation with 14 blind participants suggests the efficacy of SeeChart in understanding key insights from charts and fulfilling their information needs while reducing their required time and cognitive burden.
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