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URWalking – pedestrian navigation with landmarks
Usually directions are given using distinctive objects like buildings as landmarks. URWalking is a research project aiming to translate this form of wayfinding to mobile navigation devices, as yet giving directions based on distances. The campus of the Universität Regensburg’s complex structure is an ideal challenge for field testing landmark navigation.
Two participations at CeBIT (2012, 2013) testify for the successful development of URWalking.
At the moment the center of the campus is being renovated, constantly causing new blockings and detours, creating nuisances especially for handicapped people. As a countermeasure specialdetour signs featuring a QR code are installed refering to the campus navigation system. Using the scanned code, it determines the user’s position and assists his journey. The underlying routing data is constantly checked and updated so that URWalking is always providing the present situation.
URWalking - Analysis of landmark-based mapping using gaze behaviour
In a subproject of URWalking various map views refering to distinctive objects were evaluated using a mobile eye tracking device. The research focussed on the reception of the interface and the surroundings while navigating indoors.
URoadworks – Examination of scalability and effort
URoadworks evaluates the scalability of URWalking’s data model and the amount of time required to implement complex modifications to the routing model. The detours due to renovations offer a realistic szenario, requiring short-term response.
Based on the usage data collected during the project, theories regarding information behaviour of people in public spaces could be empirically validated: What needs for information emerge from the construction sites? Which system responses are helpful in which situation and why? How do users familiar with the campus’s structure cope with unusual directions? Will they try to find their own short-cuts? What is the behaviour of people without local knowledge?
Prof. Dr. Bernd Ludwig
Assistant Professor for Information Science
Digital world of work
Computer assisted teaching with digital aids
Prof. Dr. Sven Hilbert
Professorship for methods of empirical educational research