No longer bound by traditional 2D physical representations, there is a steady shift towards three dimensional (3D) data. Existing research recognises landmarks to be important navigational but specific geometric and semantic attributes in 3D have not been identified. This study offers a usercentred investigation into assessing of the saliency of environmental objects which facilitate pedestrian navigation. A novel real-world navigation experiment using Google Glass is carried out with fourteen participants. Results show geometric and semantic detail for navigation are most pertinent between 1.65 – 7.5m for buildings. Visual characteristics such as colour, shape and texture are more relevant than function and use.