Harald Radi
Rene Mayrhofer
ABSTRACT
Mobile devices, per definition, are supposed to assist in organizing all kinds of things, also tasks of course, because usually such devices are always at hands. But due to the very limited and time consuming possibilities to interact with such devices many fall back to other means to organize their life, like a simple pencil and paper.
We developed a collaborative task repository that facilitates collaboration and teamwork, but on the other hand demands that all tasks have to be entered into that system. Therefore a smart and userfriendly interface to that repository is mandatory.
This work presents concepts on how to improve the user interface of mobile devices so that capturing tasks on-the-go becomes feasible. We propose to move away from display driven user interfaces to more sophisticated interfaces that utilize all the sensors and actors of current mobile devices.
- T. Hazen, E. Weinstein, and A. Park. Towards robust person recognition on handheld devices using face and speaker identification technologies, 2003.Google Scholar
- T. J. Hazen and V. Zue. Segment-based automatic language identification. Journal of the Acoustical Society of America, 18(4):2323--2331, 1997.Google ScholarCross Ref
- J. Hightower and G. Borriella. Location systems for ubiquitous computing. IEEE Computer, 34(8):57--66, 2001. Google ScholarDigital Library
- K. Hinckley, J. S. Pierce, M. Sinclair, and E. Horvitz. Sensing techniques for mobile interaction. In UIST, pages 91--100, 2000. Google ScholarDigital Library
- K. Kaemarungsi and P. Krishnamurthy. Modeling of indoor positioning systems based on location fingerprinting.Google Scholar
- R. Mayrhofer, H. Radi, and A. Ferscha. Recognizing and predicting context by learning from user behavior. Radiomatics: Journal of Communication Engineering, special issue on Advances in Mobile Multimedia, 1(1), May 2004.Google Scholar
- D. A. Norman. The Design of Future Things. Basic Books, December 2007.Google Scholar
- I. Oakley, J. Angesleva, S. Hughes, and S. O'Modhrain. Tilt and feel: Scrolling with vibrotactile display, 2004.Google Scholar
- A. Park and T. Hazen. Asr dependent techniques for speaker identification, 2002.Google Scholar
- H. Radi. Adding smartness to mobile devices -- recognizing context by learning from user habits. Master's thesis, Institut für Pervasive Computing, Johannes Kepler Universität, A-4040 Linz, Altenbergerstraße 69, 2005.Google Scholar
Index Terms
- Towards alternative user interfaces for capturing and managing tasks with mobile devices
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