通过代理接口为视障人士实现有效的Web数据记录交互

IF 3.6 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ACM Transactions on Interactive Intelligent Systems Pub Date : 2023-01-10 DOI:10.1145/3579364
Javedul Ferdous, H. Lee, S. Jayarathna, V. Ashok
{"title":"通过代理接口为视障人士实现有效的Web数据记录交互","authors":"Javedul Ferdous, H. Lee, S. Jayarathna, V. Ashok","doi":"10.1145/3579364","DOIUrl":null,"url":null,"abstract":"Web data records are usually accompanied by auxiliary webpage segments, such as filters, sort options, search form, and multi-page links, to enhance interaction efficiency and convenience for end users. However, blind and visually impaired (BVI) persons are presently unable to fully exploit the auxiliary segments like their sighted peers, since these segments are scattered all across the screen, and as such assistive technologies used by BVI users, i.e., screen reader and screen magnifier, are not geared for efficient interaction with such scattered content. Specifically, for blind screen reader users, content navigation is predominantly one-dimensional despite the support for skipping content, and therefore navigating to-and-fro between different parts of the webpage is tedious and frustrating. Similarly, low vision screen magnifier users have to continuously pan back-and-forth between different portions of a webpage, given that only a portion of the screen is viewable at any instant due to content enlargement. The extant techniques to overcome inefficient web interaction for BVI users have mostly focused on general web-browsing activities, and as such they provide little to no support for data record-specific interaction activities such as filtering and sorting – activities that are equally important for facilitating quick and easy access to desired data records. To fill this void, we present InSupport, a browser extension that: (i) employs custom machine learning-based algorithms to automatically extract auxiliary segments on any webpage containing data records; and (ii) provides an instantly accessible proxy one-stop interface for easily navigating the extracted auxiliary segments using either basic keyboard shortcuts or mouse actions. Evaluation studies with 14 blind participants and 16 low vision participants showed significant improvement in web usability with InSupport, driven by increased reduction in interaction time and user effort, compared to the state-of-the-art solutions.","PeriodicalId":48574,"journal":{"name":"ACM Transactions on Interactive Intelligent Systems","volume":"14 1","pages":"1 - 27"},"PeriodicalIF":3.6000,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Enabling Efficient Web Data-Record Interaction for People with Visual Impairments via Proxy Interfaces\",\"authors\":\"Javedul Ferdous, H. Lee, S. Jayarathna, V. Ashok\",\"doi\":\"10.1145/3579364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Web data records are usually accompanied by auxiliary webpage segments, such as filters, sort options, search form, and multi-page links, to enhance interaction efficiency and convenience for end users. However, blind and visually impaired (BVI) persons are presently unable to fully exploit the auxiliary segments like their sighted peers, since these segments are scattered all across the screen, and as such assistive technologies used by BVI users, i.e., screen reader and screen magnifier, are not geared for efficient interaction with such scattered content. Specifically, for blind screen reader users, content navigation is predominantly one-dimensional despite the support for skipping content, and therefore navigating to-and-fro between different parts of the webpage is tedious and frustrating. Similarly, low vision screen magnifier users have to continuously pan back-and-forth between different portions of a webpage, given that only a portion of the screen is viewable at any instant due to content enlargement. The extant techniques to overcome inefficient web interaction for BVI users have mostly focused on general web-browsing activities, and as such they provide little to no support for data record-specific interaction activities such as filtering and sorting – activities that are equally important for facilitating quick and easy access to desired data records. To fill this void, we present InSupport, a browser extension that: (i) employs custom machine learning-based algorithms to automatically extract auxiliary segments on any webpage containing data records; and (ii) provides an instantly accessible proxy one-stop interface for easily navigating the extracted auxiliary segments using either basic keyboard shortcuts or mouse actions. Evaluation studies with 14 blind participants and 16 low vision participants showed significant improvement in web usability with InSupport, driven by increased reduction in interaction time and user effort, compared to the state-of-the-art solutions.\",\"PeriodicalId\":48574,\"journal\":{\"name\":\"ACM Transactions on Interactive Intelligent Systems\",\"volume\":\"14 1\",\"pages\":\"1 - 27\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2023-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Interactive Intelligent Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3579364\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Interactive Intelligent Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3579364","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 2

摘要

Web数据记录通常伴随着辅助的网页段,例如过滤器、排序选项、搜索表单和多页链接,以提高最终用户的交互效率和便利性。然而,盲人和视障人士(BVI)目前无法像他们的视力正常的同龄人那样充分利用辅助部分,因为这些部分分散在屏幕上,而且BVI用户使用的辅助技术,即屏幕阅读器和屏幕放大镜,无法与这些分散的内容进行有效的交互。具体来说,对于盲人屏幕阅读器用户来说,内容导航主要是一维的,尽管支持跳过内容,因此在网页的不同部分之间来回导航是乏味和令人沮丧的。同样,低视力的屏幕放大镜用户必须不断地在网页的不同部分之间来回移动,因为在任何时候,由于内容放大,只有一部分屏幕是可见的。为英属维尔京群岛用户克服低效的网络交互的现有技术主要集中在一般的网络浏览活动上,因此它们对特定于数据记录的交互活动(如过滤和排序)提供很少或根本没有支持,而这些活动对于促进快速、轻松地访问所需的数据记录同样重要。为了填补这一空白,我们提出了InSupport,一个浏览器扩展:(i)采用基于自定义机器学习的算法来自动提取包含数据记录的任何网页上的辅助段;(ii)提供了一个即时访问的代理一站式界面,可以使用基本的键盘快捷键或鼠标操作轻松导航提取的辅助段。对14名盲人参与者和16名低视力参与者进行的评估研究表明,与最先进的解决方案相比,InSupport显著改善了网络可用性,减少了交互时间和用户的工作量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Enabling Efficient Web Data-Record Interaction for People with Visual Impairments via Proxy Interfaces
Web data records are usually accompanied by auxiliary webpage segments, such as filters, sort options, search form, and multi-page links, to enhance interaction efficiency and convenience for end users. However, blind and visually impaired (BVI) persons are presently unable to fully exploit the auxiliary segments like their sighted peers, since these segments are scattered all across the screen, and as such assistive technologies used by BVI users, i.e., screen reader and screen magnifier, are not geared for efficient interaction with such scattered content. Specifically, for blind screen reader users, content navigation is predominantly one-dimensional despite the support for skipping content, and therefore navigating to-and-fro between different parts of the webpage is tedious and frustrating. Similarly, low vision screen magnifier users have to continuously pan back-and-forth between different portions of a webpage, given that only a portion of the screen is viewable at any instant due to content enlargement. The extant techniques to overcome inefficient web interaction for BVI users have mostly focused on general web-browsing activities, and as such they provide little to no support for data record-specific interaction activities such as filtering and sorting – activities that are equally important for facilitating quick and easy access to desired data records. To fill this void, we present InSupport, a browser extension that: (i) employs custom machine learning-based algorithms to automatically extract auxiliary segments on any webpage containing data records; and (ii) provides an instantly accessible proxy one-stop interface for easily navigating the extracted auxiliary segments using either basic keyboard shortcuts or mouse actions. Evaluation studies with 14 blind participants and 16 low vision participants showed significant improvement in web usability with InSupport, driven by increased reduction in interaction time and user effort, compared to the state-of-the-art solutions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
ACM Transactions on Interactive Intelligent Systems
ACM Transactions on Interactive Intelligent Systems Computer Science-Human-Computer Interaction
CiteScore
7.80
自引率
2.90%
发文量
38
期刊介绍: The ACM Transactions on Interactive Intelligent Systems (TiiS) publishes papers on research concerning the design, realization, or evaluation of interactive systems that incorporate some form of machine intelligence. TIIS articles come from a wide range of research areas and communities. An article can take any of several complementary views of interactive intelligent systems, focusing on: the intelligent technology, the interaction of users with the system, or both aspects at once.
期刊最新文献
Categorical and Continuous Features in Counterfactual Explanations of AI Systems ID.8: Co-Creating Visual Stories with Generative AI Visualization for Recommendation Explainability: A Survey and New Perspectives Unpacking Human-AI interactions: From interaction primitives to a design space AutoRL X: Automated Reinforcement Learning on the Web
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1