Paper Info
Title
Route Adaptive Selection of Salient Features
Abstract
Human communication on wayfinding makes extensive use of landmarks. With a formal model of salience, route planning services can include landmarks as well. Such a model was presented considering visual, semantic, and structural properties of spatial features. This model measures saliency independent from a given route. Our hypothesis is that an additional factor is cognitively relevant for the selection of appropriate salient features: advance visibility for a person approaching a destination point. We will propose a computational measure for advance visibility. The new measure is used to identify suited salient features at route decision points: a feature is suited for a wayfinding instruction if it is (a) salient, and (b) in advance visible. The relevance of advance visibility is tested by a comparison of wayfinding success with instructions made with and without this additional measure. Computational effort is observed to check feasibility.
Year
DOI
Venue
2003
10.1007/978-3-540-39923-0_23
Lecture Notes in Computer Science
Field
DocType
Volume
Visibility,Visibility graph,Salience (neuroscience),Computer science,Formal specification,Artificial intelligence,Salience (language),Human communication,Machine learning,Semantics,Salient
Conference
2825
ISSN
Citations 
PageRank 
0302-9743
28
1.63
References 
Authors
7
1
Name
Order
Citations
PageRank
Stephan Winter164345.20