Abstract
There is a growing amount of interest in learning about users� task
patterns and task switches in daily
life. This paper presents a novel method of detecting task switches
based on the frequency of
interaction with windows on a desktop computer. The results of a two
week user study of its accuracy
are also presented, along with possible applications for this type
of system.
Users
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