Temporal task footprinting: identifying routine tasks by their temporal patterns
This paper introduces a new representation for describing routine tasks, called temporal task footprints. Routines are characterized by their temporal regularity or rhythm. Temporal pattern analysis (Tpatterns) can be used to isolate frequent recurrent patterns in routine tasks that appear repeatedly in the same temporal configuration. Using tf-idf statistics, each task can then be defined in terms of its temporal task footprint, a ranked list of temporal patterns along with their typical frequencies. Experimental evaluations using data of 29 days observing and logging 10 subjects showed that temporal task footprints of application windows, email and document usage outperform decision tree and SVMs in recognizing the subjects' tasks.
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Brdiczka, O.; Su, N. M.; Begole, J. Temporal task footprinting: identifying routine tasks by their temporal patterns. Proceedings of the 14th International Conference on Intelligent User Interfaces (IUI 2010); 2010 February 7-10; Hong Kong, China. NY: ACM; 2010; 281-284.
Copyright © ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in IUI 2010 http://doi.acm.org/10.1145/1719970.1720011