The effects of task interruption and information presentation on individual decision making
ICIS '97 Proceedings of the eighteenth international conference on Information systems
Blackboard Architectures and Applications
Blackboard Architectures and Applications
Integrating Virtual and Physical Context to Support Knowledge Workers
IEEE Pervasive Computing
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Administrative assistants as interruption mediators
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Controlling interruptions: awareness displays and social motivation for coordination
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Predicting human interruptibility with sensors
ACM Transactions on Computer-Human Interaction (TOCHI)
How it works: a field study of non-technical users interacting with an intelligent system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Toolkit support for developing and deploying sensor-based statistical models of human situations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Unpacking the social dimension of external interruptions
Proceedings of the 2007 international ACM conference on Supporting group work
Ontonym: a collection of upper ontologies for developing pervasive systems
Proceedings of the 1st Workshop on Context, Information and Ontologies
Contextualised ambient intelligence through case-based reasoning
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
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In teams working closely together, interruptions of coworkers are normal and necessary. One of the goals of the ambient intelligent computing framework MATe (Mate for Awareness in Teams) is to prevent unwanted interruptions and at the same time improve social interaction. By creating awareness of each other's situation, users are able to judge how interruptible colleagues are. We describe the concept of MATe and its components and present related work on interruption handling and ontology-based reasoning as well as outline our current and future research in the area of context-aware systems.