Speed-dependent automatic zooming for browsing large documents
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Hands-free multi-scale navigation in virtual environments
I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
A resource-adaptive mobile navigation system
Proceedings of the 7th international conference on Intelligent user interfaces
Navigation patterns and usability of zoomable user interfaces with and without an overview
ACM Transactions on Computer-Human Interaction (TOCHI)
Studying the effectiveness of MOVE: a contextually optimized in-vehicle navigation system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An evaluation of integrated zooming and scrolling on small screens
International Journal of Human-Computer Studies
Techniques for location selection on a mobile device
EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
LocaweRoute: an advanced route history visualization for mobile devices
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Locawe: a novel platform for location-aware multimedia services
Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia
Remote navigation of a mobile robot in an RFID-augmented environment
Personal and Ubiquitous Computing
User experience of photorealistic urban pedestrian navigation
Proceedings of the International Working Conference on Advanced Visual Interfaces
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The aim of this research was to explore the navigational effects of two common features in current mobile roadmap systems: automatic rotation based on the vehicle's direction of movement and speed-dependent automatic zooming. 12 subjects tried four different visualization techniques for a mobile map in real traffic: no rotation/constant zooming, no rotation/automatic zooming, automatic rotation/constant zooming, and automatic rotation/automatic zooming. The subjects rated the techniques on four scales: position knowledge support, direction knowledge support, identification of real-world objects based on map objects and an overall score. The results showed that conditions involving automatic rotation and/or zooming got systematically more positive ratings on all scales than the conditions without those features. The implementation of automatic zooming created for this experiment was rated as very close to optimal. These results suggest that both automatic rotation and automatic zooming can enhance navigation when implemented to a mobile roadmap.