A diary study of task switching and interruptions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Journal of Intelligent and Robotic Systems
Logical Hierarchical Hidden Markov Models for Modeling User Activities
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Proceedings of the 1st Workshop on Context, Information and Ontologies
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
A new model of plan recognition
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Capturing context and mental state of knowledge workers
Proceedings of the 4th Information Interaction in Context Symposium
Supervision of learning methods in user data interpretation
Proceedings of the 4th Information Interaction in Context Symposium
Automatic recognition of context and stress to support knowledge workers
Proceedings of the 30th European Conference on Cognitive Ergonomics
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Motivation -- Supporting knowledge workers in their self-management by providing them overviews of performed tasks. Research approach -- Computer interaction data of knowledge workers was logged during their work. For each user different classifiers were trained and compared on their performance on recognizing 12 specified tasks. Findings/Design -- After only a few hours of training data reasonable classification accuracy can be achieved. There was not one classifier that suited all users best. Take away message -- Task recognition based on knowledge workers' computer activities is feasible with little training, although personalization is an important issue.