@inproceedings{brush2010user,
author = {Brush, A.J. and Karlson, Amy and Scott, James and Sarin, Raman and Jacobs, Andy and Bond, Barry and Murillo, Oscar and Hunt, Galen and Sinclair, Mike and Hammil, Kerry and Levi, Steven},
title = {User Experiences with Activity-Based Navigation on Mobile Devices},
booktitle = {Proceedings of MobileHCI 2010},
year = {2010},
month = {September},
abstract = {We introduce activity-based navigation, which uses human activities derived from sensor data to help people navigate, in particular to retrace a ―trail‖ previously taken by that person or another person. Such trails may include step counts, walking up/down stairs or taking elevators, compass directions, and photos taken along a user‘s path, in addition to absolute positioning (GPS and maps) when available. To explore the user experience of activity-based navigation, we built Greenfield, a mobile device interface for finding a car. We conducted a ten participant user study comparing users‘ ability to find cars across three different presentations of activity-based information as well as verbal instructions. Our results show that activity-based navigation can be used for car finding and suggest its promise more generally for supporting navigation tasks. We present lessons for future activity-based navigation interfaces, and motivate further work in this space, particularly in the area of robust activity inference.},
publisher = {Association for Computing Machinery, Inc.},
url = {http://approjects.co.za/?big=en-us/research/publication/user-experiences-with-activity-based-navigation-on-mobile-devices/},
edition = {Proceedings of MobileHCI 2010},
}