In-car cell phone use: mitigating risk by signaling remote callers
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Mobility detection using everyday GSM traces
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
An exploratory study of unsupervised mobile learning in rural India
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Detection and tracking of driver's hands in real time
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Section-Wise similarities for classification of subjective-data on time series
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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A field study has been conducted to investigate the naturalistic use of cell phone applications in driving, home, work, and school and during daytime and nighttime. GPS coordinates are used to determine whether cell phone users are driving. The frequency and duration of use of various cell phone applications such as incoming or outgoing voice calls, music player, calendar, SMS, camera, and the Internet are analyzed separately for driving and non-driving. The present results provide fundamental data for adequately assessing the distraction potential of mobile devices and guiding the design of context-based assistance systems.