Immersive virtual reality applications for design reviews: Systematic literature review and classification scheme for functionalitiesShow others and affiliations
2022 (English)In: Advanced Engineering Informatics, ISSN 1474-0346, E-ISSN 1873-5320, Vol. 54, article id 101760Article, review/survey (Refereed) Published
Abstract [en]
The development of immersive virtual reality (IVR) applications for design reviews is a major trend in the design field. While many different applications have been developed, there is little consensus on the functionalities necessary for these applications. This paper proposes a classification scheme for IVR functionalities related to design reviews (DRs), combining conceptual-to-empirical and empirical-to-conceptual strategies. The classification scheme consists of eight class categories (Input, Representation, Navigation, Manipulation, Collaboration, Edit, Creation, and Output), 22 class subcategories, and 55 classes. The classification scheme has been validated by analysing several commercial IVR applications for DRs. As part of the classification scheme development, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was utilised to review 70 articles that develop IVR applications for DRs. The results from systematic literature reviews suggest the development of solutions that integrate several class categories, are better connected to current design workflows, include various design information, support a DR planning cycle, and support distributed work. The proposed classification scheme helps to orient the future development of IVR applications for DRs and provides a framework to systematically accumulate evidence on the effect of such applications on DRs.
Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 54, article id 101760
Keywords [en]
Immersive virtual reality, Design review, Classification scheme, Functionalities, Systematic literature review, PRISMA
National Category
Human Computer Interaction
Research subject
Product Innovation
Identifiers
URN: urn:nbn:se:ltu:diva-93451DOI: 10.1016/j.aei.2022.101760ISI: 000866392000004Scopus ID: 2-s2.0-85138464833OAI: oai:DiVA.org:ltu-93451DiVA, id: diva2:1701290
Note
Validerad;2022;Nivå 2;2022-10-05 (sofila);
Funder: Croatian Science Foundation (project IP-2018-01-7269); Team Adaptability for Innovation-Oriented Product Development (TAIDE); Erasmus+ (project 2018-1-HR01-KA203-047486); E-learning Platform for Innovative Product Development (ELPID)
2022-10-052022-10-052023-05-08Bibliographically approved