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TU Berlin

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Sven Kratz is now with Ludwig-Maximilians-Universität München

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


Semi-Automatic Zooming for Mobile Map Navigation
Citation key kratz2010a
Author Kratz, Sven and Brodien, Ivo and Rohs, Michael
Title of Book Proceedings of the 11th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI 2010)
Pages 63–72
Year 2010
ISBN 978-1-60558-835-3
DOI 10.1145/1851600.1851615
Month sep
Publisher ACM Press
Abstract In this paper we present a novel interface for mobile map navigation based on Semi-Automatic Zooming (SAZ). SAZ gives the user the ability to manually control the zoom level of an SDAZ interface, while retaining the automatic zooming characteristics of that interface at times when the user is not explicitly controlling the zoom level. In a user study conducted using a realistic mobile map with a wide scale space, we compare SAZ with existing map interface techniques, multi-touch and Speed-Dependent Automatic Zooming (SDAZ). We extend a dynamic state-space model for Speed- Dependent Automatic Zooming (SDAZ) to accept 2D tilt input for scroll rate and zoom level control and implement a dynamically zoomable map view with access to high-resolution map material for use in our study. The study reveals that SAZ performs significantly better than SDAZ and that SAZ is comparable in performance and usability to a standard multi-touch map interface. Furthermore, the study shows that SAZ could serve as an alternative to multi-touch as input technique for mobile map interfaces.
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