%0 Conference Paper %1 NVM05 %A Nair, Rahul %A Voida, Stephen %A Mynatt, Elizabeth D. %B Proceedings of HCI 2005 %D 2005 %K diss fragmented_work study %T Frequency-based detection of task switches %V 2 %X 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.

@inproceedings{NVM05, 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.}, added-at = {2007-11-01T10:10:38.000+0100}, author = {Nair, Rahul and Voida, Stephen and Mynatt, Elizabeth D.}, biburl = {https://www.bibsonomy.org/bibtex/213857c24b309cb431811c29b0c3cd500/carsten}, booktitle = {Proceedings of HCI 2005}, file = {NVM05.pdf:NVM05.pdf:PDF}, interhash = {42e99c559771d5f54736d602159fc0f7}, intrahash = {13857c24b309cb431811c29b0c3cd500}, keywords = {diss fragmented_work study}, owner = {ritterskamp}, timestamp = {2007-11-01T10:16:37.000+0100}, title = {Frequency-based detection of task switches}, volume = 2, year = 2005 }