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.
|Title of host publication||Not Known|
|Publication status||E-pub ahead of print - 12 Sep 2018|
|Event||Computer Graphics & Visual Computing (CGVC) 2018 - Swansea University, United Kingdom|
Duration: 13 Sep 2018 → 14 Sep 2018
|Conference||Computer Graphics & Visual Computing (CGVC) 2018|
|Period||13/09/18 → 14/09/18|
- Virtual reality
FingerprintDive into the research topics of 'Virtual Reality : A literature review and metrics based classification'. Together they form a unique fingerprint.
27 Apr 2022
Student thesis: Doctoral ThesisFile