TY - GEN
T1 - Identifying proper scales on digital maps for in-vehicle navigation systems
AU - Wu, Anna
AU - Zhang, Xiaolong
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-642-02713-0_28
DO - 10.1007/978-3-642-02713-0_28
M3 - Conference contribution
AN - SCOPUS:70350326302
SN - 3642027121
SN - 9783642027123
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 262
EP - 270
BT - Universal Access in Human-Computer Interaction
T2 - 5th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2009. Held as Part of HCI International 2009
Y2 - 19 July 2009 through 24 July 2009
ER -