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PERVASIVE
2011
Springer

Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models

7 years 9 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 turn off and on the phone volume to avoid embarrassing phone interruptions. We demonstrate that users have varying costs associated with interruptions which indicates the need for personalized cost approximations. We compare different experience sampling techniques to learn users’ volume preferences and show those that ask when our cost approximation is low reduce the number of embarrassing interruptions and result in more accurate volume classifiers when deployed for long-term use.
Stephanie Rosenthal, Anind K. Dey, Manuela M. Velo
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where PERVASIVE
Authors Stephanie Rosenthal, Anind K. Dey, Manuela M. Veloso
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