Automatically evaluating the mobile web accessibility of Higher Education electronic texts for print impairments
Automatically evaluating the mobile web accessibility of Higher Education electronic texts for print impairments
The aim of this thesis is to investigate how to automatically evaluate the mobile web accessibility of Higher Education (HE) electronic texts for those with print impairments. The outcome is a master key component referred to as accessibility metadata. This unlocks hidden information that can be presented in human readable form and provides a means to automatically assess the accessibility support offered by mobile device settings, mobile browsers, ereader applications and downloadable formats. This process involves an academic or student searching for, finding, downloading, navigating and reading an electronic text while using a Higher Education Institute (HEI) library web portal on a mobile device. Two research questions are addressed using expert reviews. RQ1: determines four physical and sensory control categories, namely: visual, audio, touch and speech that support automatic evaluation. This also incorporates issues arising for those with dyslexia a form of cognitive impairment. The control categories analysed against user tasks, specific to searching for, finding, downloading, navigating and reading HE electronic texts provides the basis to answer RQ2. The latter investigates how automatic evaluation is achieved through the production of an instrument that provides Barrier Walkthrough (BW) success criteria. This criteria enables a specification to be written for a mobile web accessibility evaluation tool that is incorporated into a wireframe for four mobile web applications and a web service. In the future, the framework can be repurposed to other sectors, from pre‐school tablet content to the use of adaptive mobile technologies by older adults who may experience age‐related disabilities.
University of Southampton
Rogers, Neil, Edward
3a256977-94b6-4f5d-8911-3210fc360ffe
September 2019
Rogers, Neil, Edward
3a256977-94b6-4f5d-8911-3210fc360ffe
Wald, Michael
90577cfd-35ae-4e4a-9422-5acffecd89d5
Rogers, Neil, Edward
(2019)
Automatically evaluating the mobile web accessibility of Higher Education electronic texts for print impairments.
University of Southampton, Doctoral Thesis, 670pp.
Record type:
Thesis
(Doctoral)
Abstract
The aim of this thesis is to investigate how to automatically evaluate the mobile web accessibility of Higher Education (HE) electronic texts for those with print impairments. The outcome is a master key component referred to as accessibility metadata. This unlocks hidden information that can be presented in human readable form and provides a means to automatically assess the accessibility support offered by mobile device settings, mobile browsers, ereader applications and downloadable formats. This process involves an academic or student searching for, finding, downloading, navigating and reading an electronic text while using a Higher Education Institute (HEI) library web portal on a mobile device. Two research questions are addressed using expert reviews. RQ1: determines four physical and sensory control categories, namely: visual, audio, touch and speech that support automatic evaluation. This also incorporates issues arising for those with dyslexia a form of cognitive impairment. The control categories analysed against user tasks, specific to searching for, finding, downloading, navigating and reading HE electronic texts provides the basis to answer RQ2. The latter investigates how automatic evaluation is achieved through the production of an instrument that provides Barrier Walkthrough (BW) success criteria. This criteria enables a specification to be written for a mobile web accessibility evaluation tool that is incorporated into a wireframe for four mobile web applications and a web service. In the future, the framework can be repurposed to other sectors, from pre‐school tablet content to the use of adaptive mobile technologies by older adults who may experience age‐related disabilities.
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Published date: September 2019
Identifiers
Local EPrints ID: 445205
URI: http://eprints.soton.ac.uk/id/eprint/445205
PURE UUID: ad571ea8-cc17-455c-a112-45a72db052b3
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Date deposited: 25 Nov 2020 17:31
Last modified: 16 Mar 2024 05:34
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Contributors
Author:
Neil, Edward Rogers
Thesis advisor:
Michael Wald
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