dc.contributor.author | Ankomah, Peter | en_US |
dc.contributor.author | Vangorp, Peter | en_US |
dc.contributor.editor | {Tam, Gary K. L. and Vidal, Franck | en_US |
dc.date.accessioned | 2018-09-19T15:15:27Z | |
dc.date.available | 2018-09-19T15:15:27Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 978-3-03868-071-0 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/cgvc20181222 | |
dc.identifier.uri | https://doi.org/10.2312/cgvc.20181222 | |
dc.description.abstract | This paper presents a multi-disciplinary overview of research evaluating virtual reality (VR). The main aim is to review and classify VR research based on several metrics: presence and immersion, navigation and interaction, knowledge improvement, performance and usability. With the continuous development and consumerisation of VR, several application domains have studied the impact of VR as an enhanced alternative environment for performing tasks. However, VR experiment results often cannot be generalised but require specific datasets and tasks suited to each domain. This review and classification of VR metrics presents an alternative metrics-based view of VR experiments and research. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Human | |
dc.subject | centered computing | |
dc.subject | Virtual reality | |
dc.title | Virtual Reality: A Literature Review and Metrics-based Classification | en_US |
dc.description.seriesinformation | Computer Graphics and Visual Computing (CGVC) | |
dc.description.sectionheaders | Visualization III and VR | |
dc.identifier.doi | 10.2312/cgvc.20181222 | |
dc.identifier.pages | 173-181 | |