Vis enkel innførsel

dc.contributor.authorJost, Patrick
dc.contributor.authorCobb, Sue
dc.contributor.authorHämmerle, Isabella
dc.date.accessioned2019-10-04T09:23:54Z
dc.date.available2019-10-04T09:23:54Z
dc.date.created2019-08-25T16:39:13Z
dc.date.issued2019
dc.identifier.citationBehaviour and Information Technology. 2019, .nb_NO
dc.identifier.issn0144-929X
dc.identifier.urihttp://hdl.handle.net/11250/2620267
dc.description.abstractThe concept of digital game-based learning (DGBL) evolves rapidly together with technological enhancements of virtual reality (VR) and smart phones. However, the mental workload (MWL) that VR-training applications demand and motivational qualities originating from user experience (UX) should be identified in order to create effective and enjoyable training/learning challenges that fit with individual users’ capabilities. This study examined the effects of reality-based interaction (RBI) and VR on measures of student motivation and MWL, in a mental arithmetic game for secondary school pupils. In a randomised controlled trial with sixty school children, a mental arithmetic game was tested with three different interaction and two different presentation methods – VR RBI, VR head-mounted-display tapping and tablet flick-gesture. Results found a significant effect of RBI on MWL but no differences in enjoyment of training were found between VR-experience and tablet training-experience. In fact, adding the gaming-context to the mental arithmetic task created an enjoyable, motivating experience regardless of presentation or interaction-style.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.subjectErgonominb_NO
dc.subjectErgonomicsnb_NO
dc.subjectBrukergrensesnittnb_NO
dc.subjectHuman-Computer Interactionnb_NO
dc.subjectDanningnb_NO
dc.subjectEducationnb_NO
dc.titleReality-based interaction affecting mental workload in virtual reality mental arithmetic trainingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.subject.nsiVDP::Datateknologi: 551nb_NO
dc.subject.nsiVDP::Computer technology: 551nb_NO
dc.source.pagenumber17nb_NO
dc.source.journalBehaviour and Information Technologynb_NO
dc.identifier.doihttps://doi.org/10.1080/0144929X.2019.1641228
dc.identifier.cristin1718516
dc.description.localcodeLocked until 7.8.2020 due to copyright restrictions. This is an [Accepted Manuscript] of an article published by Taylor & Francis in [Behaviour and Information Technology] on [07 Aug 2019], available at https://doi.org/10.1080/0144929X.2019.1641228nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel