Wizard of Oz studies: why and how
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Pick-and-drop: a direct manipulation technique for multiple computer environments
Proceedings of the 10th annual ACM symposium on User interface software and technology
More than dotting the i's --- foundations for crossing-based interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Activity and Location Recognition Using Wearable Sensors
IEEE Pervasive Computing
Topiary: a tool for prototyping location-enhanced applications
Proceedings of the 17th annual ACM symposium on User interface software and technology
Wizard of Oz Support throughout an Iterative Design Process
IEEE Pervasive Computing
Some sensor network elements for ubiquitous computing
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
BrickRoad: a light-weight tool for spontaneous design of location-enhanced applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Capture the flag: simulating a location-based mobile game using the wizard-of-oz method
Proceedings of the international conference on Advances in computer entertainment technology
Physical Access Control for Captured RFID Data
IEEE Pervasive Computing
A mixed-fidelity prototyping tool for mobile devices
AVI '08 Proceedings of the working conference on Advanced visual interfaces
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Wizard of Oz (WOz) testing has shown promise as an effective way to test location-enhanced applications. However, it is challenging to conduct a location-based WOz test because of the dynamic nature of target settings in the field. In particular, continuous location tracking, a major task in such a test, requires a wizard to frequently update a user's location to simulate a location system. This imposes a heavy task load on a wizard. To ease wizards' tasks for location tracking, we designed two techniques, Directional Crossing and Steering, and conducted a field experiment to investigate the performance of the two techniques. A quantitative analysis shows that Directional Crossing and Steering significantly lowered a wizard's task load for location tracking without sacrificing accuracy.