2003 | OriginalPaper | Chapter
Modeling Multitasking Users
Authors : Malcolm Slaney, Jayashree Subrahmonia, Paul Maglio
Published in: User Modeling 2003
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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This paper describes an algorithm to cluster and segment sequences of low-level user actions into sequences of distinct high-level user tasks. The algorithm uses text contained in interface windows as evidence of the state of user-computer interaction. Window text is summarized using latent semantic indexing (LSI). Hierarchical models are built using expectation-maximization to represent users as macro models. User actions for each task are modeled with a micro model based on a Gaussian mixture model to represent the LSI space. The algorithm’s performance is demonstrated in a test of web-browsing behavior, which also demonstrates the value of the temporal constraint provided by the macro model.