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.
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Winter, S. (2003). Route Adaptive Selection of Salient Features. In: Kuhn, W., Worboys, M.F., Timpf, S. (eds) Spatial Information Theory. Foundations of Geographic Information Science. COSIT 2003. Lecture Notes in Computer Science, vol 2825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39923-0_23
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DOI: https://doi.org/10.1007/978-3-540-39923-0_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20148-9
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