A resource-adaptive mobile navigation system
Proceedings of the 7th international conference on Intelligent user interfaces
Presenting route instructions on mobile devices
Proceedings of the 8th international conference on Intelligent user interfaces
Orchestrating a mixed reality game 'on the ground'
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Are GSM Phones THE Solution for Localization?
WMCSA '06 Proceedings of the Seventh IEEE Workshop on Mobile Computing Systems & Applications
Revealing uncertainty for information visualization
AVI '08 Proceedings of the working conference on Advanced visual interfaces
An exploration of location error estimation
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
DRec: exploring indoor navigation with an un-augmented smart phone
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Multisensor data fusion for high accuracy positioning on mobile phones
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Practical metropolitan-scale positioning for GSM phones
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
| Hi-index | 0.00 |
GPS-based pedestrian navigation can be difficult when GPS position readings are inaccurate or unavailable. In this paper, we report on a user study we carried out to investigate whether different visualizations of the uncertainty associated to user position can help users navigate outdoors when the GPS signal is degraded. In the study, we compared a basic visualization that displays only the last accurate position of the user during GPS signal degradation, and two visualizations that dynamically estimate the area where the user might be, displaying it respectively as a circle and as colored street segments. While we did not find any difference among the three visualizations in terms of the accuracy with which users assessed their position, we found that the "streets coloring" visualization required a significantly lower workload compared to the basic visualization and was perceived to be more beneficial by users.