Towards More Accessible Scientific PDFs for People with Visual Impairments: Step-by-Step PDF Remediation to Improve Tag Accuracy

要旨

PDF inaccessibility is an ongoing challenge that hinders individuals with visual impairments from reading and navigating PDFs using screen readers. This paper presents a step-by-step process for both novice and experienced users to create accessible PDF documents, including an approach for creating alternative text for mathematical formulas without expert knowledge. In a study involving nineteen participants, we evaluated our prototype PAVE 2.0 by comparing it against Adobe Acrobat Pro, the existing standard for remediating PDFs. Our study shows that experienced users improved their tagging scores from 42.0% to 80.1%, and novice users from 39.2% to 75.2% with PAVE 2.0. Overall, fifteen participants stated that they would prefer to use PAVE 2.0 in the future, and all participants would recommend it for novice users. Our work demonstrates PAVE 2.0's potential for increasing PDF accessibility for people with visual impairments and highlights remaining challenges.

受賞
Honorable Mention
著者
Felix Maximilian. Schmitt-Koopmann
University of Zurich, Zurich, Switzerland
Elaine M. Huang
University of Zurich, Zurich, Zurich, Switzerland
Hans-Peter Hutter
Zurich University of Applied Sciences, Winterthur, Switzerland
Alireza Darvishy
Zurich University of Applied Sciences, Winterthur, Switzerland
DOI

10.1145/3706598.3713084

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713084

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Accessibility 2

Annex Hall F206
7 件の発表
2025-05-01 01:20:00
2025-05-01 02:50:00
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