TU Berlin

Quality and Usability LabSven Kratz

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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


Natural User Interfaces in Mobile Phone Interaction
Zitatschlüssel kratz2010b
Autor Kratz, Sven and Hemmert, Fabian and Rohs, Michael
Buchtitel Workshop on Natural User Interfaces at CHI 2010
Jahr 2010
Monat apr
Zusammenfassung User interfaces for mobile devices move away from mainly button- and menu- based interaction styles and towards more direct techniques, involving rich sensory input and output. The recently proposed concept of Natural User Interfaces (NUIs) provides a way to structure the discussion about these developments. We examine how two-sided and around-device interaction, gestural input, and shape- and weight-based output can be used to create NUIs for mobile devices. We discuss the applicability of NUI properties in the context of mobile interaction.
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