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TU Berlin

Inhalt des Dokuments

Lupe [1]

Sven Kratz is now with Ludwig-Maximilians-Universität München [2]

Research Field

Human-Computer-Interaction (HCI)

Research Topics

- Novel sensor-based mobile interactions
- Mobile navigation of large information spaces
- Motion gesture recognition
- Physical and tangible user interfaces


Sven Kratz is a research assistant with Deutsche Telekom Laboratories at TU Berlin, where he is also currently pursuing his Phd studies. His primary research focus is on sensor-based mobile interfaces that allow for novel types of interaction. This includes gesture recognition, interaction based on distance sensing and pressure, tabletop applications for mobile devices and optical tracking technologies. Sven also conducts research into mobile interfaces providing efficient navigation of large information spaces such as maps, 3D environments or databases.

Sven received his Diplom degree in Computer Science from RWTH-Aachen University in 2008. In 2007, while working at the Media Computing Group at RWTH Aachen, Sven participated in the development, deployment and the user interface design of the mobile pervasive city game REXplorer, the first mobile city game released in public.

During his free time, Sven enjoys sailing, playing tennis and traveling the world.


Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Errnst-Reuter-Platz 7
D-10587 Berlin, Germany


Navigating Dynamically-Generated High Quality Maps on Tilt-Sensing Mobile Devices
Zitatschlüssel kratz2008a
Autor Kratz, Sven and Rohs, Michael
Buchtitel Workshop on Mobile and Embedded Interactive Systems (MEIS at Informatik 2008)
Seiten 1–8
Jahr 2008
ISBN 1617-5468 / 978-3-88579-227-7
DOI 10.1109/tabletop.2008.4660176
Workshop 1
Ort Munich, Germany
Monat sep
Verlag GI
Zusammenfassung On mobile devices, navigating in high-resolution and high-density 2D information spaces, such as geographic maps, is a common and important task. In order to support this task, we expand on work done in the areas of tilt-based browsing on mobile devices and speed-dependent automatic zooming in the traditional desktop environment to create an efficient interface for browsing high-volume map data at a wide range of scales. We also discuss infrastructure aspects, such as streaming 2D content to the device and efficiently rendering it on the display, using standards such as Scalable Vector Graphics (SVG).
Download Bibtex Eintrag [3]
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