通过模拟界面研究色盲用户界面的无障碍性

Amaan Jamil, Gyorgy Denes
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摘要

超过 3 亿人患有色觉缺陷(CVD),他们对颜色的分辨能力下降,从而限制了他们与网站和软件包进行交互的能力。用户界面设计师采取了各种方法来解决这一问题,其中大多数都提供了高对比度模式。网络内容可访问性指南》(WCAG)概述了一些维护可访问性的最佳实践,已被多个国家的政府采纳和推荐;但是,目前还不能确定这对用户感知功能的影响,以及是否会导致美观度下降。在缺乏主观数据的情况下,我们的目标是调查 CVD 观察员如何评价现有用户界面的功能性和美观性。然而,设计心血管疾病与非心血管疾病人群的比较研究本身就很困难;因此,我们在基于生理学的心血管疾病模型领域取得成功的基础上,提出了一种新颖的基于模拟的实验方案,让非心血管疾病观察者对 20 个流行网站的全彩截图与模拟心血管疾病截图的相对美观度和功能性进行评分。我们的结果表明,相对美观度和功能性呈正相关,而整个操作系统的高对比度模式会降低美观度和功能性。虽然我们的结果仅适用于模拟 CVD 屏幕截图,但这种方法具有易于部署的优点,有助于发现生产中的一些常见缺陷。最后,我们对所分析的界面提出了 AAA-A 级分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating Color-Blind User-Interface Accessibility via Simulated Interfaces
Over 300 million people who live with color vision deficiency (CVD) have a decreased ability to distinguish between colors, limiting their ability to interact with websites and software packages. User-interface designers have taken various approaches to tackle the issue, with most offering a high-contrast mode. The Web Content Accessibility Guidelines (WCAG) outline some best practices for maintaining accessibility that have been adopted and recommended by several governments; however, it is currently uncertain how this impacts perceived user functionality and if this could result in a reduced aesthetic look. In the absence of subjective data, we aim to investigate how a CVD observer might rate the functionality and aesthetics of existing UIs. However, the design of a comparative study of CVD vs. non-CVD populations is inherently hard; therefore, we build on the successful field of physiologically based CVD models and propose a novel simulation-based experimental protocol, where non-CVD observers rate the relative aesthetics and functionality of screenshots of 20 popular websites as seen in full color vs. with simulated CVD. Our results show that relative aesthetics and functionality correlate positively and that an operating-system-wide high-contrast mode can reduce both aesthetics and functionality. While our results are only valid in the context of simulated CVD screenshots, the approach has the benefit of being easily deployable, and can help to spot a number of common pitfalls in production. Finally, we propose a AAA–A classification of the interfaces we analyzed.
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