Look what you've done! Task Recognition Based on PC Activities
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Issue Date
2011-07-01
Language
en
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Abstract
Nowadays many people do their work on PCs. Due to interruptions and task switches
it is quite common that at the end of a working day these people experience a feeling of
having lost track of what they have been doing during the day. In this thesis a tool was
developed which automatically recognizes the tasks a user is performing and presents
these in an overview. It was investigated which task labels humans intuitively use and
in how far it is possible to recognize these tasks on the basis of low level computer
activity, like used applications and clicking and typing behavior. Results show that
after only a few hours of training data a reasonable classification accuracy can be
reached. Comparison of several classification approaches reveals that there is not one
classifier that suits all users best in terms of classification performance and learning
speed. Individual differences, due to mix of performed tasks and the individual work
style, indicate that the tool should be personalized.
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Faculteit der Sociale Wetenschappen