Steps towards a system for inferring the interruptibility status of knowledge workers | Zendy

Lukas Ruge | Zendy; Jörg Cassens | Zendy; Martin Christof Kindsmüller | Zendy; Michael Herczeg | Zendy

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Steps towards a system for inferring the interruptibility status of knowledge workers

Author(s) -

Lukas Ruge,

Jörg Cassens,

Martin Christof Kindsmüller,

Michael Herczeg

Publication year - 2010

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/1963564.1963608

Subject(s) - ontology , computer science , context (archaeology) , work (physics) , knowledge management , human–computer interaction , ambient intelligence , data science , engineering , mechanical engineering , paleontology , philosophy , epistemology , biology

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.

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