|
ABSTRACT
Visualising map-based data on mobile devices presents many challenges. Small displays, comparatively slow hardware and awkward interaction techniques all combine to make mobile map-based visualisations difficult to design and often frustrating to use. Existing mobile visualisation techniques do not adequately address these problems. Adaptive user interfaces, which adapt to the individual characteristics of the user, are proposed as an alternative approach to improve mobile map-based visualisation (MMV) systems. A model is presented which incorporates an adaptive user interface into the design of MMV systems. A prototype MMV system, called MediaMaps, is then described, demonstrating the successful implementation of this model. The results of an evaluation of MediaMaps are then presented, showing its effectiveness in supporting user needs and requirements for MMV using an adaptive user interface.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
|
| |
2
|
Apple Inc. Apple iPhone. 2008. Available from www.apple.com/iphone {accessed 22 June 2008}.
|
| |
3
|
Baudisch, P. Halo: A Virtual Periphery for Small Screen Devices. In Proceedings of Advanced Visual Interfaces (AVI '04). 2004. 80--84.
|
| |
4
|
Staffan Björk , Johan Redström , Peter Ljungstrand , Lars Erik Holmquist, POWERVIEW: Using Information Links and Information Views to Navigate and Visualize Information on Small Displays, Proceedings of the 2nd international symposium on Handheld and Ubiquitous Computing, p.46-62, September 25-27, 2000, Bristol, UK
|
 |
5
|
|
| |
6
|
Chen, W. and Chen, M. Event Detection in Real Time on a Personal Camera Phone Image Collection, Multimedia Systems, Springer-Verlag. 2007 12, 479--492.
|
| |
7
|
|
| |
8
|
Elkan, C. Naive Bayesian Learning. (Technical Report CS97-557). University of California, San Diego, 1997.
|
 |
9
|
|
| |
10
|
Furnas, G. Generalized Fisheye Views. In Proceedings of SIGHCI Conference on Human Factors in Computing Systems, Boston, Massachusetts, USA, 1981.
|
| |
11
|
Hampe, M. and Paelke, V. Adaptive Maps for Mobile Applications. In Proceedings of Mobile Maps Workshop at MobileHCI '05. 2005.
|
| |
12
|
Höök, K. Evaluating the Utility and Usability of an Adaptive Hypermedia System, Knowledge Based Systems, Elsevier. 1998. 10, 311--319.
|
| |
13
|
|
| |
14
|
|
| |
15
|
|
 |
16
|
Mor Naaman , Susumu Harada , QianYing Wang , Hector Garcia-Molina , Andreas Paepcke, Context data in geo-referenced digital photo collections, Proceedings of the 12th annual ACM international conference on Multimedia, October 10-16, 2004, New York, NY, USA
[doi> 10.1145/1027527.1027573]
|
| |
17
|
Nokia. Nokia Location Tagger. 2008. Available from www.nokia.com/betalabs/locationtagger {accessed 22 June 2008}.
|
 |
18
|
|
| |
19
|
|
| |
20
|
Reichenbacher, T. Mobile Cartography - Adaptive Visualisation of Geographic Information on Mobile Devices Technischen Universitat, Munchen. 2004.
|
| |
21
|
Sanna, A. and Fornaro, A. IMoViS: A System for Mobile Visualization of Intrusion Detection Data. Information & Security. 2003. 12 (2), 235--249.
|
| |
22
|
Torniai, C., Battle, S. and Cayzer, S. Sharing, Discovering and Browsing Geotagged Pictures on the Web. (Technical Report HPL-2007-73). HP Laboratories, Bristol, 2007.
|
| |
23
|
|
 |
24
|
Polle T. Zellweger , Jock D. Mackinlay , Lance Good , Mark Stefik , Patrick Baudisch, City lights: contextual views in minimal space, CHI '03 extended abstracts on Human factors in computing systems, April 05-10, 2003, Ft. Lauderdale, Florida, USA
[doi> 10.1145/765891.766022]
|
|