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Personal access to documents using different literacy levels

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

Abstract

Providing information in ‘easy-to-read’ aims at improving accessibility through easier understandable text which is more appropriate for different target groups. Particularly, legal notifications are often hard to understand. This paper presents an app and its’ underlying online system that enables users to read such information, adapted to their individual reading skills. The online system allows creating and managing translations of complex information of notifications. It maps a three-step process of translation including stakeholders located at different institutions on a content management system, which provides information of scalable complexity in terms of language level and level of detail. Users use their personal mobile devices to access this information. The app is used to identify documents with the built-in QR-code reader utilizing the back-facing camera of the smart device. After identification of this specific instance of the document, the app fetches the information, including personal data, and presents it at the user-preferred language level. Privacy and security issues were considered as well as requirements necessary to ensure accessibly.
OriginalspracheEnglisch
Seiten (von - bis)527-539
Seitenumfang13
FachzeitschriftUniversal Access in the Information Society
Volume19
Ausgabenummer3
DOIs
PublikationsstatusVeröffentlicht - Juli 2019

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 4 – Qualitativ hochwertige Bildung
    SDG 4 – Qualitativ hochwertige Bildung

Wissenschaftszweige

  • 102 Informatik
  • 102013 Human-Computer Interaction
  • 102014 Informationsdesign
  • 102015 Informationssysteme
  • 102021 Pervasive Computing
  • 102022 Softwareentwicklung
  • 102024 Usability Research
  • 102026 Virtual Reality
  • 102027 Web Engineering
  • 502007 E-Commerce
  • 506002 E-Government
  • 509002 Disability Studies
  • 602013 Gebärdensprachforschung
  • 202004 Brain-Computer Interface
  • 211902 Assistierende Technologien
  • 503008 E-Learning
  • 302027 Hör-, Stimm- und Sprachstˆrungen

JKU-Schwerpunkte

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management

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