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TU Berlin

Inhalt des Dokuments

Katrin Wolf


Research Field

- Human-Computer-Interaction

Research Topics

- Mobile and Wearable Computing

- Gesture based Interaction

- Busy-hand & On-the-go Interface

- Ubiquitous Computing


Katrin Wolf is a graduate student of the International Graduate School H-C3 that strongly focuses on Human-Centric Communication. She is investigating ergonomic busy-hand interfaces and is supervised by Sebastian Möller (T-Labs Berlin), Joachim Sauter (UdK Berlin), and Michael Rohs (University of Hannover). Katrin Wolf explores the potential and limits of microgestures that are executed with the grasping hand through user studies with interactive prototypes. Her research motivation is to understand human abilities and skills and transfer that to ergonomic interface design for on-the-go, busy-hand, and ubiquitous computing scenarios. The background of Katrin Wolf is in interaction design and she received two diplomas from the University of the Arts Berlin, one in design and one in communications. Before joining the QU Lab, Katrin was an intern at University of Canterbury in New Zealand and worked in the Human Interface Technology Lab that is headed by Mark Billinghurst.

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

+49 30 8353 54265




Foogue: Eyes-Free Interaction for Smartphones
Zitatschlüssel dicke2010a
Autor Dicke, C and Wolf, Katrin and Tal, Yaroslav
Buchtitel Proc. Mobile HCI 2010
Seiten 129–133
Jahr 2010
ISBN 978-1-60558-835-3
Monat sep
Zusammenfassung Graphical user interfaces for mobile devices have several drawbacks in mobile situations. In this paper, we present Foogue, an eyes-free interface that utilizes spatial audio and gesture input. Foogue does not require visual attention and hence does not divert visual attention from the task at hand. Foogue has two modes, which are designed to fit the usage patterns of mobile users. For user input we designed a gesture language build of a limited number of simple but also easy to differentiate gesture elements.
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