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Methodology for heuristic evaluation of the accessibility of statistical charts for people with low vision and color vision deficiency
Universal Access in the Information Society ( IF 2.1 ) Pub Date : 2021-05-10 , DOI: 10.1007/s10209-021-00816-0
Rubén Alcaraz Martínez , Mireia Ribera Turró , Toni Granollers Saltiveri

Statistical charts have an important role in conveying, clarifying and simplifying information and have a significant presence in fields such as education, scientific research or journalism. Despite numerous advances in the field of digital accessibility, charts are still a challenge for people with low vision and color vision deficiency (CVD) and create barriers that hinder their accessibility. The research presented in this paper aims is to create a heuristic set of indicators to evaluate the accessibility of statistical charts focusing on the needs of people with low vision and CVD. The set of heuristics presented has been developed based on the methodology by Quiñones et al. (Comput Stand Interfaces 59:109–129, 2018, https://doi.org/10.1016/j.csi.2018.03.002), which consists of 8 stages: (1) a state of the art literature review; (2 and 3) analysis and description of the most relevant information obtained from this research; (4, 5, and 6) selection and specification of a first set of heuristics relating them to existing heuristics; (7) validation; and (8) refining the set to obtain a final list of heuristics. A first set of heuristics (17 indicators) has been developed and applied on two heuristic evaluations, and has been amplified to 18 indicators. The final set covers the needs of the user profiles with low vision as well as the needs of the CVD and poor contrast sensitivity users. This research is a first step to widen accessibility requirements to statistical charts and to take into consideration users with low vision and CVD, often forgotten in accessibility research.



中文翻译:

弱视和色盲患者启发式评估统计图表可及性的方法

统计图表在传达,澄清和简化信息方面具有重要作用,并且在教育,科学研究或新闻等领域也占有重要地位。尽管在数字可访问性领域取得了许多进步,但是图表对于视力低下和色觉不足(CVD)的人们仍然是一个挑战,并会创建障碍,阻碍他们的可访问性。本文中提出的研究旨在创建一套启发式指标,以评估针对视力低下和CVD患者的需求的统计图的可访问性。提出的启发式方法集是基于Quiñones等人的方法开发的。(Comput Stand Interfaces 59:109–129,2018,https://doi.org/10.1016/j.csi.2018.03.002),包括8个阶段:(1)最新文献回顾; (2和3)分析和描述从本研究中获得的最相关的信息;(4、5和6)选择和指定将其与现有启发式方法相关联的第一组启发式方法;(7)验证;(8)完善集合以获得启发式的最终列表。已开发出第一套启发式方法(17个指标)并将其应用于两次启发式评估,并且已被放大为18个指标。最终的设置涵盖了视力低下的用户配置文件的需求以及CVD和对比敏感度差的用户的需求。这项研究是将可访问性要求扩展到统计图表的第一步,并考虑了在可访问性研究中经常被遗忘的视力低下和CVD的用户。和6)选择和指定与它们与现有启发式方法相关的第一组启发式方法;(7)验证;(8)完善集合以获得启发式的最终列表。已开发出第一套启发式方法(17个指标)并将其应用于两次启发式评估,并且已被放大为18个指标。最终的设置涵盖了视力低下的用户配置文件的需求以及CVD和对比敏感度差的用户的需求。这项研究是将可访问性要求扩展到统计图表的第一步,并考虑了在可访问性研究中经常被遗忘的视力低下和CVD的用户。和6)选择和指定与它们与现有启发式方法相关的第一组启发式方法;(7)验证;(8)完善集合以获得启发式的最终列表。已开发出第一套启发式方法(17个指标)并将其应用于两次启发式评估,并且已被放大为18个指标。最终的设置涵盖了视力低下的用户配置文件的需求以及CVD和对比敏感度差的用户的需求。这项研究是将可访问性要求扩展到统计图表的第一步,并考虑了在可访问性研究中经常被遗忘的视力低下和CVD的用户。已开发出第一套启发式方法(17个指标)并将其应用于两次启发式评估,并且已被放大为18个指标。最终的设置涵盖了视力低下的用户配置文件的需求以及CVD和对比敏感度差的用户的需求。这项研究是将可访问性要求扩展到统计图表的第一步,并考虑了在可访问性研究中经常被遗忘的视力低下和CVD的用户。已开发出第一套启发式方法(17个指标)并将其应用于两次启发式评估,并且已被放大为18个指标。最终的设置涵盖了视力低下的用户配置文件的需求以及CVD和对比敏感度差的用户的需求。这项研究是将可访问性要求扩展到统计图表的第一步,并考虑了在可访问性研究中经常被遗忘的视力低下和CVD的用户。

更新日期:2021-05-11
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