Spatial Knowledge Acquisition with Mobile Maps, Augmented Reality and Voice in the Context of GPS-based Pedestrian Navigation: Results from a Field Test

2012 ◽  
Vol 39 (2) ◽  
pp. 107-116 ◽  
Author(s):  
Haosheng Huang ◽  
Manuela Schmidt ◽  
Georg Gartner
Author(s):  
T. Aditya ◽  
D. Laksono ◽  
H. Sutanta ◽  
N. Izzahudin ◽  
F. Susanta

<p><strong>Abstract.</strong> This paper is focused to address the map display usability for finding given POI addresses in a popular urban city area. LOD 1 of 3D representations of city buildings are presented into a 2.5D map for pedestrian navigation test. This 3D map display is evaluated against familiar 2D map system on the test participants’ smartphones. 16 participants were involved in the field test. The typical walking model of a searching task that is focused only to look for a certain address of building is chosen as the way finding model during the field test. Three kinds of navigation processes i.e. self-orientation, spatial knowledge acquisition and navigation decision for searching task were evaluated for each test participant. Usability measures of 3D map-based display over 2D-map based display for pedestrian navigation were collected from test participants’ mobile devices. In addition to that, activities of test participants in terms of acceleration and orientation information are used to support analysis of pattern and trends of test participants. As the testing app is also intended to support smart city application, its ability to provide user report on complaints was also assessed. Most participants agreed with the statements in the questionnaire that were organized into three sections, i.e. addressing participants’ interaction, participants’ responses in navigation processes and crowdsensing. The results suggest that 3D map-based pedestrian navigation is more usable to be used to look for a certain address of building in central tourist area of urban city.</p>


2009 ◽  
Vol 33 (2) ◽  
pp. 100-110 ◽  
Author(s):  
Katharine S. Willis ◽  
Christoph Hölscher ◽  
Gregor Wilbertz ◽  
Chao Li

2000 ◽  
Author(s):  
Nathaniel I. Durlach ◽  
Thomas E. von Wiegand ◽  
Andrew Brooks ◽  
Sam Madden ◽  
Lorraine Delhorne

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