Readability Enhancement for PDF Documents

Readability has been studied for decades, ranging from traditional paper reading to digital document reading, Web page reading, etc. Different audiences have different needs and the needs trigger the researchers to investigate innovative solutions. For example, in recent years, researchers have stud...

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Main Authors: Chen-Hsiang Yu, Zachary Shelton, Omar Abou Nassif Mourad, Mohamed A. Oulal
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Computer Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2021.628832/full
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author Chen-Hsiang Yu
Zachary Shelton
Omar Abou Nassif Mourad
Mohamed A. Oulal
author_facet Chen-Hsiang Yu
Zachary Shelton
Omar Abou Nassif Mourad
Mohamed A. Oulal
author_sort Chen-Hsiang Yu
collection DOAJ
description Readability has been studied for decades, ranging from traditional paper reading to digital document reading, Web page reading, etc. Different audiences have different needs and the needs trigger the researchers to investigate innovative solutions. For example, in recent years, researchers have studied readability enhancement of English articles for non-native English readers, either on paper reading or hypertext document reading. Using a variety of methods, researchers were able to enhance the reading comprehension and the users’ satisfaction on hypertext document reading, such as changing content presentation with visual-syntactic text formatting (VSTF) format or Jenga format. In terms of dynamically changing content presentation for reading, one less explored format is Portable Document Format (PDF), which was traditionally viewed within a modern Web browser or Adobe Acrobat reader on the desktop. PDF format was standardized as an open format in 2008 and has been widely used to keep a fixed-layout content. However, a fixed layout document presents a challenge to apply existing transformation methods, not mention on mobile devices. In this paper, we not only present a system that uses a novel algorithm to decode PDF documents and apply content transformation to enhance its readability, but we also generalize it to a framework that allows the users to apply customizations and the developers to customize their needs. Although we used Jenga format as an example to enhance the readability of PDF documents, we envision the proposed framework can be used to adopt different customizations and transformation methods. The current result is promising, and we believe it is worth further investigation to make PDF documents readable and accessible for different populations, such as non-native English readers, people with dyslexia or special needs, etc.
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spelling doaj.art-3146c4bc896c4d089b57e291263bb82c2022-12-21T22:09:49ZengFrontiers Media S.A.Frontiers in Computer Science2624-98982021-08-01310.3389/fcomp.2021.628832628832Readability Enhancement for PDF DocumentsChen-Hsiang YuZachary SheltonOmar Abou Nassif MouradMohamed A. OulalReadability has been studied for decades, ranging from traditional paper reading to digital document reading, Web page reading, etc. Different audiences have different needs and the needs trigger the researchers to investigate innovative solutions. For example, in recent years, researchers have studied readability enhancement of English articles for non-native English readers, either on paper reading or hypertext document reading. Using a variety of methods, researchers were able to enhance the reading comprehension and the users’ satisfaction on hypertext document reading, such as changing content presentation with visual-syntactic text formatting (VSTF) format or Jenga format. In terms of dynamically changing content presentation for reading, one less explored format is Portable Document Format (PDF), which was traditionally viewed within a modern Web browser or Adobe Acrobat reader on the desktop. PDF format was standardized as an open format in 2008 and has been widely used to keep a fixed-layout content. However, a fixed layout document presents a challenge to apply existing transformation methods, not mention on mobile devices. In this paper, we not only present a system that uses a novel algorithm to decode PDF documents and apply content transformation to enhance its readability, but we also generalize it to a framework that allows the users to apply customizations and the developers to customize their needs. Although we used Jenga format as an example to enhance the readability of PDF documents, we envision the proposed framework can be used to adopt different customizations and transformation methods. The current result is promising, and we believe it is worth further investigation to make PDF documents readable and accessible for different populations, such as non-native English readers, people with dyslexia or special needs, etc.https://www.frontiersin.org/articles/10.3389/fcomp.2021.628832/fullreadability enhancementPDF documentsmobile devicescontent transformationaccessibility
spellingShingle Chen-Hsiang Yu
Zachary Shelton
Omar Abou Nassif Mourad
Mohamed A. Oulal
Readability Enhancement for PDF Documents
Frontiers in Computer Science
readability enhancement
PDF documents
mobile devices
content transformation
accessibility
title Readability Enhancement for PDF Documents
title_full Readability Enhancement for PDF Documents
title_fullStr Readability Enhancement for PDF Documents
title_full_unstemmed Readability Enhancement for PDF Documents
title_short Readability Enhancement for PDF Documents
title_sort readability enhancement for pdf documents
topic readability enhancement
PDF documents
mobile devices
content transformation
accessibility
url https://www.frontiersin.org/articles/10.3389/fcomp.2021.628832/full
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