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
User - interface agent interaction: personalization issues
International Journal of Human-Computer Studies
A diary study of task switching and interruptions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
Representing and Reasoning about Temporal Granularities
Journal of Logic and Computation
Modalities for building relationships with handheld computer agents
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Deploying a personalized time management agent
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Simulating users to support the design of activity management systems
WSC '05 Proceedings of the 37th conference on Winter simulation
Classifier fitness based on accuracy
Evolutionary Computation
Ambient Intelligence --From Personal Assistance to Intelligent Megacities
Proceedings of the 2007 conference on Advances in Ambient Intelligence
A Human Activity Aware Learning Mobile Music Player
Proceedings of the 2007 conference on Advances in Ambient Intelligence
Run to the Hills! Ubiquitous Computing Meltdown
Proceedings of the 2007 conference on Advances in Ambient Intelligence
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Busy people would benefit from ambient, adaptive tools for reminding them what they have to do, depending on various contextual parameters. We are developing an adaptive and expressive agent, which learns when and how to notify users about self-assigned tasks and events. In this paper, we focus on two crucial issues for such a system: the selection of the input data set, and the design of an appropriate mechanism to get user feedback without being too intrusive. We describe in particular the inputs that encapsulate the current context of the agent: relative temporal distances, historical information about reminders and categories, and the context of both the user and the hosting device.