超越视力障碍:重新定义可访问数据表示的范围
IEEE transactions on visualization and computer graphics
|January 22, 2024
概括
本研究审查了各种残疾的可访问数据表示,超越视力障碍. 它强调了包容性数据可视化和所有个人识字的机会.
科学领域:
- 人与计算机的交互
- 数据可视化 数据可视化
- 关于残疾人的研究.
背景情况:
- 在日益数据驱动的世界中,数据素养至关重要.
- 可访问的数据表示对于残疾人来说至关重要.
- 现有的研究主要针对视力障碍,忽视其他残疾人群体.
研究的目的:
- 扩大无障碍数据表示研究的范围,超越视力障碍.
- 系统地审查专注于代表性不足的残疾社区的文献.
- 确定包容性数据可视化领域的未来研究方向.
主要方法:
- 进行了来自ACM和IEEE数据库的152篇论文的系统审查.
- 专注于22%的论文处理除视力障碍以外的残疾.
- 开发了用于纸张分类的分类维度 (可访问性,可视化,HCI).
主要成果:
- 确定了用于分类可访问数据表示研究的关键维度.
- 突出了当前文学中对非视觉障碍的关注程度有限.
- 为更广泛的受众建立了理解和推进可访问数据表示的基础.
结论:
- 可访问的数据表示需要满足更广泛的残疾范围.
- 进一步的研究对于开发和实施包容性数据可视化技术至关重要.
- 这项工作通过包括非视觉障碍来重新定义可访问的数据表示.
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