Date of Original Version

6-2011

Type

Conference Proceeding

Rights Management

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-21726-5_11

Abstract or Description

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.

DOI

10.1007/978-3-642-21726-5_11

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Published In

Lecture Notes in Computer Science, 6696, 170-187.