Paper Info
Title
Identifying Proper Scales on Digital Maps for In-Vehicle Navigation Systems
Abstract
Current commercial mobile navigation systems often use a pre-determined scale selection schema without considering differences in spatial complexity of locations. To identify what map scales people may need and what spatial features make relevant maps stand out, we conducted an experiment on subjective map selection in a route planning task between two cities in the United States. Our results suggest that the distribution of selected maps is fairly concentrated on those maps that contain spatial information about both the origin and the destination, the current location and the destination, and the transition between different important roads in a route. These results suggest that the choice of map scales should not follow a preset scale rule for diverse locations, and instead, it should be adaptive to the complexity of local roads and decision-making processes.
Year
DOI
Venue
2009
10.1007/978-3-642-02713-0_28
HCI (7)
Keywords
Field
DocType
relevant map,proper scales,spatial complexity,selected map,map scale,spatial information,in-vehicle navigation systems,subjective map selection,preset scale rule,current location,current commercial mobile navigation,digital maps,pre-determined scale selection schema,decision making process,digital mapping
Scale (map),Mobile navigation,Spatial analysis,Data mining,Computer vision,Route planning,Digital mapping,Computer science,Artificial intelligence,Spatial complexity,Scale selection,Schema (psychology)
Conference
Volume
ISSN
Citations 
5616
0302-9743
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
Anna Wu11037.67
Xiaolong Zhang227821.91