The article (preprint) linked below was recently shared on arXiv.
Title
Improving the Accessibility of Scientific Documents
Authors
Lucy Lu Wang
Allen Institute for AI
Aiisabel Cachola
The Johns Hopkins University
Allen Institute for AI
Jonathan Bragg
Allen Institute for AI
Aievie Yu-Yen Cheng
Allen Institute for AI
Aichelsea Haupt
Allen Institute for AI
Aimatt Latzke
Allen Institute for AI
Aibailey Kuehl
Allen Institute for AI
Imadeleine Van Zuylen
Allen Institute for AI
Ailinda Wagner
Allen Institute for AI
Aidaniel S. Weld
Allen Institute for AI and University of Washington
Source
via arXiv
Abstract
The majority of scientific papers are distributed in PDF, which pose challenges for accessibility, especially for blind and low vision(BLV) readers. We characterize the scope of this problem by assessing the accessibility of 11,397 PDFs published 2010–2019 sampled across various fields of study, finding that only 2.4% of these PDFs satisfy all of our defined accessibility criteria. We introduce the SciA11y system to offset some of the issues around inaccessibility.
Source: arXiv:2105.00076
SciA11y incorporates several machine learning models to extract the content of scientific PDFs and render this content as accessible HTML, with added novel navigational features to support screen reader users. An intrinsic evaluation of extraction quality indicates that the majority of HTML renders (87%) produced by our system have no or only some readability issues. We perform a qualitative user study to understand the needs of BLV researchers when reading papers, and to assess whether the SciA11y system could address these needs. We summarize our user study findings into a set of five design recommendations for accessible scientific reader systems. User response to SciA11y was positive, with all users saying they would be likely to use the system in the future, and some stating that the system, if available, would become their primary workflow.
We successfully produce HTML renders for over 12M papers, of which an open access subset of 1.5M are available for browsing at scia11y.org.
Direct to Full Text Article
44 pages; PDF.
About Gary Price
