Development and Evaluation of a Tool for Assisting Content Creators in Making PDF Files More Accessible

Author:

Pradhan Debashish1,Rajput Tripti1,Rajkumar Aravind Jembu1,Lazar Jonathan1ORCID,Jain Rajiv2,Morariu Vlad I.2,Manjunatha Varun2

Affiliation:

1. College of Information Studies, Trace Research and Development Center, and Human-Computer Interaction Lab (HCIL), University of Maryland, South Wing College Park, MD

2. Adobe Research, College Park, MD

Abstract

Most PDF documents are inaccessible for people with disabilities, creating barriers in education, science, commerce, e-government, and recreation. Documents in PDF format are considered harder to make accessible than documents in other formats, primarily due to the insufficient tools available to assist content creators. In this article, we present the research and development of Ally, a new tool to assist content creators in remediating their PDF files to improve accessibility. Ally utilizes best practices from other areas of HCI research to create a more efficient and effective interaction for remediating regions, headers, reading order, and tables in a PDF document for improved accessibility. Twenty participants attempted to complete the same PDF accessibility remediation tasks using both Ally and a standard industry tool, Adobe Acrobat Pro. Ally was almost twice as fast and three times as accurate compared to Acrobat Pro, with participants reporting a strong preference for and a much higher level of satisfaction with Ally. The approaches taken in Ally improve the ability to create accessible PDFs efficiently and accurately for the four important aspects studied, but future work will need to incorporate additional functionality, related to remediating alt text, forms, and other aspects of PDF accessibility.

Funder

Adobe Research

National Institute on Disability, Independent Living, and Rehabilitation Research

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,Human-Computer Interaction

Reference41 articles.

1. The Portable Document Format (PDF) accessibility practice of four journal publishers

2. Document management applications—Electronic document file format enhancement for accessibility—Part 1: Use of ISO 32000-1 (PDF/UA-1) . 2014. https://www.iso.org/standard/64599.html.

3. PDF Association. Matterhorn Protocol 1.1. Retrieved from https://www.pdfa.org/wp-content/uploads/2021/04/Matterhorn-Protocol-1-1.pdf.

4. B. C. Olaf Drümmer. 2013. PDF/UA in a Nutshell: Accessible documents with PDF. PDF Association.

5. An Uninteresting Tour Through Why Our Research Papers Aren't Accessible

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3