2021
DOI: 10.1108/arch-03-2021-0067
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Surprise: challenging design perceptions in immersive virtual reality environments? The case of designing a hospital project using a CAVE (Cave Automatic Virtual Environment)

Abstract: PurposeThe purpose of this paper is to examine how the use of immersive virtual reality (IVR) impacts on the surprise aspects of designing.Design/methodology/approachThe empirical case is a new hospital in the UK wherein a CAVE (Cave Automatic Virtual Environment) type of an IVR environment was used performing six design review sessions during the bid preparation stage. Drawing from a former video-based study, the authors conducted follow-up discussions with the participants to access their perspectives on des… Show more

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Cited by 4 publications
(2 citation statements)
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“…Based on the platform of immersive virtual reality system (IVRS), combing the isovist method and the SD method, Sun [11] analyzed the influence and effects of underground squares' interface morphology on spatial experience. L Maftei and C Harty [12] interviewed participants about their experiences of doing design in the CAVE (Cave Automatic Virtual Environment) type of an IVR (Immersive Virtual Reality) environment. The findings of research indicate that IVRs, such as the CAVE, are enhancing existing understandings of design and driving unanticipated changes to the design.…”
Section: Methods Of Visual Preference Evaluations For Urban Environmentmentioning
confidence: 99%
“…Based on the platform of immersive virtual reality system (IVRS), combing the isovist method and the SD method, Sun [11] analyzed the influence and effects of underground squares' interface morphology on spatial experience. L Maftei and C Harty [12] interviewed participants about their experiences of doing design in the CAVE (Cave Automatic Virtual Environment) type of an IVR (Immersive Virtual Reality) environment. The findings of research indicate that IVRs, such as the CAVE, are enhancing existing understandings of design and driving unanticipated changes to the design.…”
Section: Methods Of Visual Preference Evaluations For Urban Environmentmentioning
confidence: 99%
“…Te remaining 49 papers were assessed throughout for suitability for fnal inclusion in this review. Tere were nine (n � 9) papers that identifed no nurse as an author of the work [22][23][24][25][26][27][28][29][30].…”
Section: Data Extractionmentioning
confidence: 99%