A hybrid learning system for recognizing user tasks from desktop activities and email messages
Proceedings of the 11th international conference on Intelligent user interfaces
SWISH: semantic analysis of window titles and switching history
Proceedings of the 11th international conference on Intelligent user interfaces
Support for activity-based computing in a personal computing operating system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Taskposé: exploring fluid boundaries in an associative window visualization
Proceedings of the 21st annual ACM symposium on User interface software and technology
Proceedings of the 1st Workshop on Context, Information and Ontologies
iMecho: an associative memory based desktop search system
Proceedings of the 18th ACM conference on Information and knowledge management
The development of intuitive knowledge classifier and the modeling of domain dependent data
Knowledge-Based Systems
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A Knowledge Worker (KW) uses her computer to perform different tasks for which she gathers and uses information from disparate sources such as the Web and e-mail, and creates new information such as calendar events, e-mails, and documents (resources) This forms a Task Space (TS): an information space composed of all computer-based resources the KW uses in relation to a task Furthermore, KWs may switch between multiple tasks, some of which may be suspended and resumed after some time These effects compound the KW's ability to organise and visualise an accurate mental model of the individual TSs We propose a Task-Based User Model (TBUM) that acts as the KW's mental model for each task by automatically tracking, relating and organising resources associated with that task The generated TBUM can be used to support complex activities such as task-resumption, searching within a task-context, task sharing and collaboration.