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dc.contributor.authorBoletsis, Costas
dc.date.accessioned2021-01-12T13:01:09Z
dc.date.available2021-01-12T13:01:09Z
dc.date.created2020-09-08T12:55:10Z
dc.date.issued2020
dc.identifier.citationLecture Notes in Computer Science (LNCS). 2020, 12242 157-167.en_US
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/2722563
dc.description.abstractWhen evaluating virtual reality (VR) locomotion techniques, the user experience metrics that are used are usually either focused on specific experiential dimensions or based on non-standardised, subjective reporting. The field would benefit from a standard questionnaire for evaluating the general user experience of VR locomotion techniques. This paper presents a synthesised user experience questionnaire for VR locomotion, which is called the VR Locomotion Experience Questionnaire (VRLEQ). It comprises the Game Experience Questionnaire (GEQ) and the System Usability Scale (SUS) survey. The results of the VRLEQ’s application in a comparative, empirical study (n=26) of three prevalent VR locomotion techniques are described. The questionnaire’s content validity is assessed at a preliminary level based on the correspondence between the questionnaire items and the qualitative results from the study’s semi-structured interviews. VRLEQ’s experiential dimensions’ scoring corresponded well with the semi-structured interview remarks and effectively captured the experiential qualities of each VR locomotion technique. The VRLEQ results facilitated and quantified comparisons between the techniques and enabled an understanding of how the techniques performed in relation to each other.en_US
dc.language.isoengen_US
dc.publisherSpringer Verlagen_US
dc.subjectVirtuell virkeligheten_US
dc.subjectVirtual realityen_US
dc.subjectForskningsmetodikken_US
dc.subjectResearch methodsen_US
dc.titleA User Experience Questionnaire for VR Locomotion: Formulation and Preliminary Evaluationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holderThis is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science (LNCS) ( ISSN 0302-9743). The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-58465-8_11.en_US
dc.subject.nsiVDP::Datateknologi: 551en_US
dc.subject.nsiVDP::Computer technology: 551en_US
dc.subject.nsiVDP::Datateknologi: 551en_US
dc.subject.nsiVDP::Computer technology: 551en_US
dc.source.pagenumber157-167en_US
dc.source.volume12242en_US
dc.source.journalLecture Notes in Computer Science (LNCS)en_US
dc.identifier.doi10.1007/978-3-030-58465-8_11
dc.identifier.cristin1828094
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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