Understanding Data Accessibility for People with Intellectual and Developmental Disabilities
Understanding Data Accessibility for People with Intellectual and Developmental Disabilities
复制标题
了解智力和发育障碍人士的数据可访问性
DOI：
--
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
D. Szafir
中科院分区：
文献类型：
--
作者：
Keke Wu;Emma Petersen;Tahmina Ahmad;David Burlinson;Shea Tanis;D. Szafir
使用可视化需要人们阅读抽象的视觉图像，估计统计数据，并保留信息。然而，智力和发育障碍(IDD)患者经常以不同的方式处理信息，这可能会使抽象的视觉信息与现实世界的数量之间的联系复杂化。传统上，这一群体被排除在可视化设计之外，而且经常无法获得与他们的福祉相关的数据。我们将探讨可视化如何更好地服务于这一群体。我们确定了三个可以提高数据可访问性的可视化设计元素：图表类型、图表修饰和数据连续性。我们对患有和不患有IDD的人群进行了评估，在基于网络的时间序列和比例数据的在线实验中测量了准确性和效率。我们的研究确定了IDD患者在阅读常见可视化图像时的表现模式和主观偏好。这些发现提出了可能的解决方案，可能会打破传统设计指南造成的认知障碍。
Using visualization requires people to read abstract visual imagery, estimate statistics, and retain information. However, people with Intellectual and Developmental Disabilities (IDD) often process information differently, which may complicate connecting abstract visual information to real-world quantities. This population has traditionally been excluded from visualization design, and often has limited access to data related to their well being. We explore how visualizations may better serve this population. We identify three visualization design elements that may improve data accessibility: chart type, chart embellishment, and data continuity. We evaluate these elements with populations both with and without IDD, measuring accuracy and efficiency in a web-based online experiment with time series and proportion data. Our study identifies performance patterns and subjective preferences for people with IDD when reading common visualizations. These findings suggest possible solutions that may break the cognitive barriers caused by conventional design guidelines.