Differing weights for salience subdimensions (e.g. visual or structural salience) have been suggested since the early days of salience models in GIScience. Up until now, however, it remains unclear whether weights found in studies are robust across environments, objects and observers. In this study we examine the robustness of a survey-based salience model. Based on ratings of N_{o}=720 objects by N_{p}=250 different participants collected in-situ in two different European cities (Regensburg and Augsburg) we conduct a heterogeneity analysis taking into account environment and sense of direction stratified by gender. We find, first, empirical evidence that our model is invariant across environments, i.e. the strength of the relationships bet...
For human-centered mobile navigation systems, a computational landmark selection model is critical t...
It is critical for researchers to be confident of the quality of survey data. Problems with data qua...
For human-centered mobile navigation systems, a computational landmark selection model is critical t...
Theories about salience of landmarks in GIScience have been evolving for about 15 years. This paper ...
In this study, it was aimed to understand whether or not computer models of saliency could explain l...
In this study, a theory that identified salience and immediacy as two constructs that significantly ...
In the past decades, hundreds of saliency models have been proposed for fixation prediction, along w...
Research Question: How do participants behave when asked to rate objects’ visual dimensions? Approac...
Visual saliency is one of the mechanisms that guide our visual attention, or where we look. This top...
Over the past 15 years work on visual salience has been restricted to models of low-level, bottom-up...
AbstractIt is commonly believed that objects viewed in certain contexts may be more or less salient....
Saliency methods calculate how important each input feature is to a machine learning model's predict...
Description of this data This data repository contains: 800 Images, observer fixations for three tas...
Humans inspect the environment around them by selecting a sequence of locations to fixate which will...
International audienceIn this article, we are interested in the computational modeling of visual att...
For human-centered mobile navigation systems, a computational landmark selection model is critical t...
It is critical for researchers to be confident of the quality of survey data. Problems with data qua...
For human-centered mobile navigation systems, a computational landmark selection model is critical t...
Theories about salience of landmarks in GIScience have been evolving for about 15 years. This paper ...
In this study, it was aimed to understand whether or not computer models of saliency could explain l...
In this study, a theory that identified salience and immediacy as two constructs that significantly ...
In the past decades, hundreds of saliency models have been proposed for fixation prediction, along w...
Research Question: How do participants behave when asked to rate objects’ visual dimensions? Approac...
Visual saliency is one of the mechanisms that guide our visual attention, or where we look. This top...
Over the past 15 years work on visual salience has been restricted to models of low-level, bottom-up...
AbstractIt is commonly believed that objects viewed in certain contexts may be more or less salient....
Saliency methods calculate how important each input feature is to a machine learning model's predict...
Description of this data This data repository contains: 800 Images, observer fixations for three tas...
Humans inspect the environment around them by selecting a sequence of locations to fixate which will...
International audienceIn this article, we are interested in the computational modeling of visual att...
For human-centered mobile navigation systems, a computational landmark selection model is critical t...
It is critical for researchers to be confident of the quality of survey data. Problems with data qua...
For human-centered mobile navigation systems, a computational landmark selection model is critical t...