MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation

ArXiv Pub Date : 2024-03-01 DOI:10.1145/3613904.3642730
JooYoung Seo, Yilin Xia, Bongshin Lee, Sean McCurry, Yu Jun Yam
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引用次数: 1

Abstract

This paper investigates new data exploration experiences that enable blind users to interact with statistical data visualizations$-$bar plots, heat maps, box plots, and scatter plots$-$leveraging multimodal data representations. In addition to sonification and textual descriptions that are commonly employed by existing accessible visualizations, our MAIDR (multimodal access and interactive data representation) system incorporates two additional modalities (braille and review) that offer complementary benefits. It also provides blind users with the autonomy and control to interactively access and understand data visualizations. In a user study involving 11 blind participants, we found the MAIDR system facilitated the accurate interpretation of statistical visualizations. Participants exhibited a range of strategies in combining multiple modalities, influenced by their past interactions and experiences with data visualizations. This work accentuates the overlooked potential of combining refreshable tactile representation with other modalities and elevates the discussion on the importance of user autonomy when designing accessible data visualizations.
MAIDR:利用多模态数据表示技术实现统计可视化
本文研究了新的数据探索体验,使盲人用户能够利用多模态数据表示与统计数据可视化(条形图、热图、箱形图和散点图)进行交互。除了现有的无障碍可视化通常采用的声化和文字描述外,我们的 MAIDR(多模态访问和交互式数据表示)系统还采用了两种额外的模态(盲文和复习),提供了互补的优势。它还为盲人用户提供了自主性和控制权,使他们能够交互式地访问和理解可视化数据。在一项有 11 名盲人参与的用户研究中,我们发现 MAIDR 系统有助于准确解读可视化统计信息。受过去与数据可视化互动和经验的影响,参与者在结合多种模式时表现出一系列策略。这项工作强调了将可刷新触觉表示法与其他模式相结合的潜力,并提升了在设计无障碍数据可视化时用户自主性重要性的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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