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...
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
—Mobile devices can produce continuous streams of data which are often specific to the person carrying them. We show that cell phone tracks from the MIT Reality dataset can be u...
LiveMail is a prototype system that allows mobile subscribers to communicate using personalized 3D face models created from images taken by their phone cameras. The user takes a s...
Tomislav Kosutic, Miran Mosmondor, Ivan Andrisek, ...
Most present day search engines have a deterministic behavior in the sense that they return the same search results for all users who submit the same query at a certain time. They...
Kapil Goenka, Ismailcem Budak Arpinar, Mustafa Nur...