Email overload: exploring personal information management of email
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MailCat: an intelligent assistant for organizing e-mail
Proceedings of the third annual conference on Autonomous Agents
Reinventing the inbox: supporting the management of pending tasks in email
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Machine Learning
Communications of the ACM
Models of attention in computing and communication: from principles to applications
Communications of the ACM
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Taking email to task: the design and evaluation of a task management centered email tool
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The design and applications of a context service
ACM SIGMOBILE Mobile Computing and Communications Review
Learning and reasoning about interruption
Proceedings of the 5th international conference on Multimodal interfaces
What a to-do: studies of task management towards the design of a personal task list manager
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Natural Language Engineering
Presence versus availability: the design and evaluation of a context-aware communication client
International Journal of Human-Computer Studies
Detecting action-items in e-mail
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
SCOUT Contextually Organizes User Tasks
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Information Extraction: Distilling Structured Data from Unstructured Text
Queue - Social Computing
Automatically classifying emails into activities
Proceedings of the 11th international conference on Intelligent user interfaces
Linking messages and form requests
Proceedings of the 11th international conference on Intelligent user interfaces
A hybrid learning system for recognizing user tasks from desktop activities and email messages
Proceedings of the 11th international conference on Intelligent user interfaces
A decision-tree-based symbolic rule induction system for text categorization
IBM Systems Journal
Descriptive naming of context data providers
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
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In this paper we present SCOUT, an application that examines the machine-generated messages within the in-box of an e-mail application, extracts from these messages information regarding the tasks the recipient is asked to perform, and displays these messages in a graphical interface where they are grouped by context. The tool is intended for business managers who receive daily a large number of machine-generated messages that require some action be taken. SCOUT uses the IBM Unstructured Information Management Architecture (UIMA) framework to apply rule-based reasoning for identification of tasks, and it uses contextual data to customize the presentation of task information to the user. SCOUT's open, extensible architecture allows the use of alternate inference models (such as machine learning algorithms) as well as the integration of additional context sources and client interfaces. SCOUT was well received by the participants in a small evaluation study.