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dc.contributor.advisorJohn, Nigel
dc.contributor.advisorRitsos, Panagiotis
dc.contributor.authorButcher, Peter W. S.
dc.date.accessioned2020-08-21T14:38:19Z
dc.date.available2020-08-21T14:38:19Z
dc.date.issued2020-08-17
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/623604/PWSB_Thesis.pdf?sequence=1
dc.identifier.citationButcher, P. W. S. (2020). A Framework for Web-Based Immersive Analytics. (Doctoral dissertation). University of Chester, United Kingdom.en_US
dc.identifier.urihttp://hdl.handle.net/10034/623604
dc.description.abstractThe emergence of affordable Virtual Reality (VR) interfaces has reignited the interest of researchers and developers in exploring new, immersive ways to visualise data. In particular, the use of open-standards Web-based technologies for implementing VR experiences in a browser aims to enable their ubiquitous and platform-independent adoption. In addition, such technologies work in synergy with established visualization libraries, through the HTML Document Object Model (DOM). However, creating Immersive Analytics (IA) experiences remains a challenging process, as the systems that are currently available require knowledge of game engines, such as Unity, and are often intrinsically restricted by their development ecosystem. This thesis presents a novel approach to the design, creation and deployment of Immersive Analytics experiences through the use of open-standards Web technologies. It presents <VRIA>, a Web-based framework for creating Immersive Analytics experiences in VR that was developed during this PhD project. <VRIA> is built upon WebXR, A-Frame, React and D3.js, and offers a visualization creation workflow which enables users of different levels of expertise to rapidly develop Immersive Analytics experiences for the Web. The aforementioned reliance on open standards and the synergies with popular visualization libraries make <VRIA> ubiquitous and platform-independent in nature. Moreover, by using WebXR’s progressive enhancement, the experiences <VRIA> is able to create are accessible on a plethora of devices. This thesis presents an elaboration on the motivation for focusing on open-standards Web technologies, presents the <VRIA> visualization creation workflow and details the underlying mechanics of our framework. It reports on optimisation techniques, integrated into <VRIA>, that are necessary for implementing Immersive Analytics experiences with the necessary performance profile on the Web. It discusses scalability implications of the framework and presents a series of use case applications that demonstrate the various features of <VRIA>. Finally, it describes the lessons learned from the development of the framework, discusses current limitations, and outlines further extensions.en_US
dc.language.isoenen_US
dc.publisherUniversity of Chesteren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectImmersive Analyticsen_US
dc.subjectWeb-based frameworksen_US
dc.titleA Framework for Web-Based Immersive Analyticsen_US
dc.typeThesis or dissertationen_US
dc.rights.embargodate2021-02-21
dc.type.qualificationnamePhDen_US
dc.rights.embargoreasonRecommended 6 month embargoen_US
dc.type.qualificationlevelDoctoralen_US
dc.rights.usageThe full-text may be used and/or reproduced in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-profit purposes provided that: - A full bibliographic reference is made to the original source - A link is made to the metadata record in ChesterRep - The full-text is not changed in any way - The full-text must not be sold in any format or medium without the formal permission of the copyright holders. - For more information please email researchsupport.lis@chester.ac.uk


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Attribution-NonCommercial-NoDerivatives 4.0 International
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