A framework for improving the accessibility of research papers on arXiv.org

AI: The paper's main point is to highlight the importance of making scientific research more accessible to people with disabilities and to identify potential barriers for researchers with disabilities and how to make improvements to improve access. It also proposes solutions to improve accessibility, such as offering accessible HTML alongside existing PDF and TeX formats.

AI: Facts: - arXiv's job is to put out proper HTML alongside existing sources. - 89% of respondents heavily depend on access to research for their professional work. - Users of assistive technology report they only have access to 38% of the research they need without assistance. - PDF formatting is the biggest barrier to accessing papers, according to survey respondents. - 67% of respondents still prefer PDF even if well-formatted HTML is available. - 73% of respondents would find it useful to build a customizable arXiv feed. - 58% of respondents would find it useful to have a quick way to get to a paper's conclusions and references. - arXiv is a platform that hosts research content and has played an important role in open access for over 30 years by removing financial, institutional, and geographic barriers to research. - More than a quarter of the world’s population has a vision impairment, 20% of people in the United States have dyslexia, and 26% of people in the United States self-report living with at least one disability. - The vast majority of research papers have low levels of accessibility, creating significant barriers for a large number of people. - HTML is a next step towards more open science, offering better accessibility through well-formatted design. - Participants were diverse in terms of their career stage and included PhD students, professors, and researchers working in industry. - Participants come from multiple fields of research including physics, math, statistics, computer science, legal, and regulatory. - 7 participants disclosed blindness, 1 participant disclosed dyslexia, 1 participant disclosed ADHD, and 2 participants disclosed a movement disability. - PDFs have low native accessibility and are challenging for people with reading disabilities such as blindness, low vision, and dyslexia. - Research from the Allen AI institute shows that only 2.4% of PDFs demonstrate full compliance with accessibility criteria. - PDFs are far behind standard on mobile devices. - ACM conference has found low accessibility rates of PDF and has chosen HTML5 format as a goal to ultimately make accessibility easier and more standardized. - Well formatted HTML will support and empower the many different ways that scientists consume research data. - None of the existing tools can provide a smooth experience for authors and readers, and arXiv aims to close the gap on all the rest. - A survey showed that most respondents use arXiv daily and are primarily from Physics, Math, and Computer Science fields. Only 25% of the respondents are direct users of assistive technology. The most commonly reported assistive technology used is a screen reader.

AI: 1. PDF accessibility 2. Reading disabilities 3. Blindness 4. Low vision 5. Dyslexia 6. Screen readers 7. Semantic markup 8. Tagging 9. ASL 10. Education