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dc.contributor.authorDudley, John James
dc.date.accessioned2020-04-21T14:27:11Z
dc.date.available2020-04-21T14:27:11Z
dc.date.issued2020-05-16
dc.date.submitted2019-09-30
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/304577
dc.description.abstractThe central hypothesis of this thesis is that probabilistic user interface design provides an effective methodology for delivering productive and enjoyable applications in virtual reality (VR) and augmented reality (AR). This investigation is timely given the recent emergence of mass-market virtual and augmented reality head-mounted displays and growing demand for tailored applications and content. The design guidance for building compelling and productive applications for these environments is, however, currently lagging the pace at which the underlying technology is maturing. This is problematic given important differences between designing conventional 2D interfaces and interactions and their embodied 3D counterparts. This dissertation investigates probabilistic user interface design as a method for solving many of the novel challenges encountered when developing applications for VR and AR. Probabilistic user interface design seeks to model the uncertain events in a system and identify, implement and validate strategies that drive improved system performance. This thesis addresses four research questions by applying a probabilistic treatment in four distinct but closely related case studies. These four case studies are selected to illustrate the flexibility and unique benefits offered by this method. Research Question 1 asks how the probabilistic qualities of an interface can be determined and how this can inform design. This question is investigated in the context of text entry in VR with a probabilistic characterisation performed on two fundamental design choices. Research Question 2 relates to the challenge of adapting AR applications to deployment contexts not knowable at design time. A study in which crowdworkers are employed to build a probabilistic understanding of the requirements for contextually adaptive AR answers this question. The text entry theme is revisited in answering Research Questions 3 which asks how high levels of input noise can be mitigated through inference. A probabilistic text entry method specifically tailored for use in AR is implemented and evaluated. Finally, Research Question 4 asks how the high dimensional design space in AR and VR applications can be efficiently explored to support ideal design choices. Interface refinement through probabilistic optimisation and crowdsourcing is shown to be highly efficient and effective for this purpose. A probabilistic treatment in the design process has many potential benefits, principle among which is increased robustness to circumstances unanticipated at design time. This thesis contributes to the toolset and guidance available to designers and supports the development of next generation user interfaces specifically tailored to virtual and augmented reality.
dc.language.isoen
dc.rightsAll rights reserved
dc.subjectVirtual Reality
dc.subjectAugmented Reality
dc.subjectMixed Reality
dc.subjectProbabilistic User Interface Design
dc.subjectText Entry
dc.titleProbabilistic User Interface Design for Virtual and Augmented Reality Applications
dc.typeThesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (PhD)
dc.publisher.institutionUniversity of Cambridge
dc.publisher.departmentEngineering
dc.date.updated2020-04-18T16:56:32Z
dc.identifier.doi10.17863/CAM.51660
dc.contributor.orcidDudley, John James [0000-0001-6692-4853]
dc.publisher.collegeJesus College
dc.type.qualificationtitleDoctor of Philosophy
cam.supervisorPer Ola, Kristensson
cam.thesis.fundingfalse
rioxxterms.freetoread.startdate2021-04-21


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