Markus Kattenbeck

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With the computational power of modern smartphones constantly increasing, resource intensive applications are becoming feasible to an ever growing extent. In this paper, we report on a research project recently started. Its aim is to develop an application for smartphones that combines pedestrian and public transport navigation including the computation of(More)
Aktuelle Forschungsarbeiten zur Fußgängernavigation, die im Rahmen des Forschungsprojekts NADINE am Lehrstuhl für Informationswissenschaft durchgeführt werden, profitieren stark von den Facetten Information Seeking, Context und Information Avoiding der Information Behavior-Forschung. Dabei wird zunächst von völlig technologieunabhängigen Erkenntnissen zu(More)
Efficient human-computer-interaction is a key to success for navigation systems, in particular when pedestrians are using them. Due to the increasing computational power of recent mobile devices, complex multimedia user interfaces to pedestrian navigation systems can be implemented. In order to be able to provide the best-suited interface to each user, we(More)
In this paper a Structural Equation Model drawing on current theories of salience is empirically tested using a large scale in-situ experiment (<i>n<sub>o</sub></i> = 366 objects and <i>n<sub>p</sub></i> = 119 participants). Using estimation methods based on partial least squares strong empirical evidence is found for the ability of the model to predict(More)
Research Question: How do participants behave when asked to rate objects’ visual dimensions? Approach: Qualitative Data Analysis Method: 90 participants were asked to rate 11 objects located along a route of 1.1 km length and asked to explain their rating behaviour using a think-aloud protocol. Results: If asked to rate several objects, participants tend to(More)