Department of Rehabilitation Medicine, NYU Langone Health, New York, NY, USA.
Stanford University, Stanford, CA, USA.
Disabil Rehabil Assist Technol. 2024 May;19(4):1405-1414. doi: 10.1080/17483107.2023.2187094. Epub 2023 Mar 16.
Visual impairment-related disabilities have become increasingly pervasive. Current reports estimate a total of 36 million persons with blindness and 217 million persons with moderate to severe visual impairment worldwide. Assistive technologies (AT), including text-to-speech software, navigational/spatial guides, and object recognition tools have the capacity to improve the lives of people with blindness and low vision. However, access to such AT is constrained by high costs and implementation barriers. More recently, expansive growth in mobile computing has enabled many technologies to be translated into mobile applications. As a result, a marketplace of accessibility apps has become available, yet no framework exists to facilitate navigation of this voluminous space.
We developed the BLV (Blind and Low Vision) App Arcade: a fun, engaging, and searchable curated repository of app AT broken down into 11 categories spanning a wide variety of themes from entertainment to navigation. Additionally, a standardized evaluation metric was formalized to assess each app in five key dimensions: reputability, privacy, data sharing, effectiveness, and ease of use/accessibility. In this paper, we describe the methodological approaches, considerations, and metrics used to find, store and score mobile applications.
The development of a comprehensive and standardized database of apps with a scoring rubric has the potential to increase access to reputable tools for the visually impaired community, especially for those in low- and middle-income demographics, who may have access to mobile devices but otherwise have limited access to more expensive technologies or services.
视力障碍相关的残疾变得越来越普遍。目前的报告估计,全球共有 3600 万盲人,2.17 亿人有中度至重度视力障碍。辅助技术(AT),包括文本到语音软件、导航/空间指南和物体识别工具,有能力改善盲人或低视力患者的生活。然而,由于成本高和实施障碍,这些辅助技术的使用受到限制。最近,移动计算的广泛发展使得许多技术可以转化为移动应用程序。因此,出现了一个可用的辅助功能应用程序市场,但还没有一个框架来方便地浏览这个庞大的空间。
我们开发了 BLV(盲人和低视力)应用游戏厅:一个有趣、吸引人的、可搜索的应用程序 AT 分类库,分为 11 个类别,涵盖了从娱乐到导航的各种主题。此外,还制定了一个标准化的评估指标,从可信度、隐私、数据共享、有效性和易用性/可访问性等五个关键维度评估每个应用程序。在本文中,我们描述了寻找、存储和评分移动应用程序所使用的方法、考虑因素和指标。
开发一个全面的、标准化的应用程序数据库,加上评分标准,有潜力增加盲人社区获得可信赖工具的机会,特别是对于那些中低收入人群,他们可能有移动设备,但否则可能无法获得更昂贵的技术或服务。