Article ID: | iaor2013536 |
Volume: | 7 |
Issue: | 23 |
Start Page Number: | 197 |
End Page Number: | 211 |
Publication Date: | Jan 2012 |
Journal: | International Journal of Services Operations and Informatics |
Authors: | Zhang Wei, Meng Fanxing |
Keywords: | image processing, human factors |
The Virtual Reality (VR) systems for wayfinding studies, the evaluation metrics for wayfinding performance and the factors affecting wayfinding performances are summarised and discussed in the present study. The VR systems covered by this study include desktop, large display, Head‐Mounted Display (HMD), Fish Tank and Cave Automatic Virtual Environment (CAVE) systems. Three levels of evaluation metrics are reviewed, which are task performance, physical behaviours and cognitive rationale. Factors affecting wayfinding performance are divided into four categories: personal factors, wayfinding strategy factors, environmental factors and navigation support tool factors, each of which has several sub‐factors. Effects of these factors on wayfinding performance are discussed. Finally, a new VR system developed by this study for wayfinding problems is introduced and a perspective on future wayfinding research is provided.