Sciweavers

Share
IUI
2009
ACM

Detecting and correcting user activity switches: algorithms and interfaces

11 years 7 months ago
Detecting and correcting user activity switches: algorithms and interfaces
The TaskTracer system allows knowledge workers to define a set of activities that characterize their desktop work. It then associates with each user-defined activity the set of resources that the user accesses when performing that activity. In order to correctly associate resources with activities and provide useful activity-related services to the user, the system needs to know the current activity of the user at all times. It is often convenient for the user to explicitly declare which activity he/she is working on. But frequently the user forgets to do this. TaskTracer applies machine learning methods to detect undeclared activity switches and predict the correct activity of the user. This paper presents TaskPredictor2, a complete redesign of the activity predictor in TaskTracer and its notification user interface. TaskPredictor2 applies a novel online learning algorithm that is able to incorporate a richer set of features than our previous predictors. We prove an error bound fo...
Jianqiang Shen, Jed Irvine, Xinlong Bao, Michael G
Added 17 Mar 2010
Updated 17 Mar 2010
Type Conference
Year 2009
Where IUI
Authors Jianqiang Shen, Jed Irvine, Xinlong Bao, Michael Goodman, Stephen Kolibaba, Anh Tran, Fredric Carl, Brenton Kirschner, Simone Stumpf, Thomas G. Dietterich
Comments (0)
books