一网打尽:确保盲人用户可以访问网上购物项目

Q1 Social Sciences
Y. Prakash, Akshay Kolgar Nayak, Mohan Sunkara, Sampath Jayarathna, H. Lee, V. Ashok
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引用次数: 0

摘要

浏览购物产品等网络数据项是用户的一项核心在线活动。为了防止信息过载,与数据项相关的内容通常分散在多个网页的多个网页部分。然而,这种内容分布会产生意想不到的副作用,即大大增加盲人用户的交互负担,因为他们使用屏幕阅读器在不同网页的不同部分之间来回导航既乏味又麻烦。虽然现有作品提出了针对单个网页上下文的方法,但能够对分布在多个网页上的内容进行可用访问的解决方案却少之又少。在本文中,我们介绍了 InstaFetch 浏览器扩展,它能实时动态生成另一个屏幕阅读器友好的用户界面,盲人用户可以利用它几乎立即访问与项目相关的不同信息,如描述、完整规格和用户评论,所有这些信息都集中在一处,而不必繁琐地浏览不同网页的不同部分。此外,InstaFetch 还支持有关任何项目的自然语言查询,盲人用户可以利用这一功能快速获取所需信息,从而避免手动翻阅大量文本。在一项针对 14 位盲人用户的研究中,我们观察到,与最先进的解决方案相比,使用 InstaFetch 浏览数据项所需的时间要少得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
All in One Place: Ensuring Usable Access to Online Shopping Items for Blind Users
Perusing web data items such as shopping products is a core online user activity. To prevent information overload, the content associated with data items is typically dispersed across multiple webpage sections over multiple web pages. However, such content distribution manifests an unintended side effect of significantly increasing the interaction burden for blind users, since navigating to-and-fro between different sections in different pages is tedious and cumbersome with their screen readers. While existing works have proposed methods for the context of a single webpage, solutions enabling usable access to content distributed across multiple webpages are few and far between. In this paper, we present InstaFetch, a browser extension that dynamically generates an alternative screen reader-friendly user interface in real-time, which blind users can leverage to almost instantly access different item-related information such as description, full specification, and user reviews, all in one place, without having to tediously navigate to different sections in different webpages. Moreover, InstaFetch also supports natural language queries about any item, a feature blind users can exploit to quickly obtain desired information, thereby avoiding manually trudging through reams of text. In a study with 14 blind users, we observed that the participants needed significantly lesser time to peruse data items with InstaFetch, than with a state-of-the-art solution.
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来源期刊
Proceedings of the ACM on Human-Computer Interaction
Proceedings of the ACM on Human-Computer Interaction Social Sciences-Social Sciences (miscellaneous)
CiteScore
5.90
自引率
0.00%
发文量
257
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