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PERVASIVE
2011
Springer
12 years 12 months ago
Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models
We contribute a method for approximating users’ interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically ...
Stephanie Rosenthal, Anind K. Dey, Manuela M. Velo...
MOBISYS
2009
ACM
14 years 9 months ago
Leveraging smart phones to reduce mobility footprints
Mobility footprint refers to the size, weight, and energy demand of the hardware that must be carried by a mobile user to be effective at any time and place. The ideal of a zero m...
Stephen Smaldone, Benjamin Gilbert, Nilton Bila, L...
MOBISYS
2008
ACM
14 years 8 months ago
Peopletones: a system for the detection and notification of buddy proximity on mobile phones
Mobile phones have the potential to be useful agents for their owners by detecting and reporting situations that are of interest. Several challenges emerge in the case of detectin...
Kevin A. Li, Timothy Sohn, Steven Huang, William G...
MOBISYS
2008
ACM
14 years 8 months ago
Micro-Blog: sharing and querying content through mobile phones and social participation
Recent years have witnessed the impacts of distributed content sharing (Wikipedia, Blogger), social networks (Facebook, MySpace), sensor networks, and pervasive computing. We beli...
Al Schmidt, Jack Li, Landon P. Cox, Romit Roy Chou...
MM
2006
ACM
157views Multimedia» more  MM 2006»
14 years 3 months ago
Cyborglogging with camera phones: steps toward equiveillance
We present “equiveillance” as a conceptual framework for understanding the balance between surveillance and sousveillance. In addition to this conceptual framework we also pre...
Steve Mann, James Fung, Raymond Lo