@inproceedings{horvitz2004busybody,
author = {Horvitz, Eric and Koch, Paul and Apacible, Johnson},
title = {BusyBody: Creating and Fielding Personalized Models of the Cost of Interruption},
year = {2004},
month = {September},
abstract = {Interest has been growing in opportunities to build and deploy
statistical models that can infer a computer user’s current
interruptability from computer activity and relevant contextual
information. We describe a system that intermittently asks users to
assess their perceived interruptability during a training phase and
that builds decision-theoretic models with the ability to predict the
cost of interrupting the user. The models are used at run-time to
compute the expected cost of interruptions, providing a mediator
for incoming notifications, based on a consideration of a user’s
current and recent history of computer activity, meeting status,
location, time of day, and whether a conversation is detected.},
url = {http://approjects.co.za/?big=en-us/research/publication/busybody-creating-fielding-personalized-models-cost-interruption/},
pages = {5},
}