How About a MATe for Awareness in Teams

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

How About a MATe for Awareness in Teams

Lukas Ruge, Martin Christof Kindsmüller, Jörg Cassens, Michael Herczeg

Abstract

While guests in the office or a phone call can be pleasant sur-
prises, in the wrong moment they may be disrupting a time of focused
work and concentration. A lack of coordination between colleagues at
the work place can lead to unwanted interruptions and result in an inef-
ficient and unpleasant workplace. MATe (Mate for Awareness in Teams)
is a pervasive, ambient intelligent computing framework charged with
the task of preventing unwanted interruptions and improving social in-
teraction at the workplace of knowledge workers. We present a survey of
employees at a university in order to identify the attitudes of knowledge
workers towards interruptions as well as their opinions on a pervasive
system surveying and analyzing their behavior. Based on the results of
this survey a prototype has been developed using an ontology written in
OWL as a knowledge representation and logic-based reasoning to infer
the users’ status and interruptibility.

Originalsprache	Englisch
Titel	Proceedings of MRC 2011, Modeling and Reasoning in Context, 7th International Workshop at CONTEXT 2011
Seitenumfang	69
Erscheinungsort	Karlsruhe, Germany
Erscheinungsdatum	01.09.2011
Seiten	58
ISBN (Print)	978-161584137-0
Publikationsstatus	Veröffentlicht - 01.09.2011
Veranstaltung	9th International Conference on Computer-Supported Collaborative Learning 2009 - Rhodes, Griechenland Dauer: 08.06.2009 → 13.06.2009

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Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gesundheit und Wohlergehen
SDG 9 – Industrie, Innovation und Infrastruktur
SDG 11 – Nachhaltige Städte und Gemeinschaften
SDG 12 – Verantwortungsvoller Konsum und Produktion

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http://www.imis.uni-luebeck.de/publikationen/MRC2011-web.pdf

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title = "How About a MATe for Awareness in Teams",

abstract = "While guests in the office or a phone call can be pleasant sur- prises, in the wrong moment they may be disrupting a time of focused work and concentration. A lack of coordination between colleagues at the work place can lead to unwanted interruptions and result in an inef- ficient and unpleasant workplace. MATe (Mate for Awareness in Teams) is a pervasive, ambient intelligent computing framework charged with the task of preventing unwanted interruptions and improving social in- teraction at the workplace of knowledge workers. We present a survey of employees at a university in order to identify the attitudes of knowledge workers towards interruptions as well as their opinions on a pervasive system surveying and analyzing their behavior. Based on the results of this survey a prototype has been developed using an ontology written in OWL as a knowledge representation and logic-based reasoning to infer the users{\textquoteright} status and interruptibility.",

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Ruge, L, Kindsmüller, MC, Cassens, J & Herczeg, M 2011, How About a MATe for Awareness in Teams. in Proceedings of MRC 2011, Modeling and Reasoning in Context, 7th International Workshop at CONTEXT 2011. Karlsruhe, Germany, S. 58, 9th International Conference on Computer-Supported Collaborative Learning 2009, Rhodes, Griechenland, 08.06.09. <http://www.imis.uni-luebeck.de/publikationen/MRC2011-web.pdf>

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AB - While guests in the office or a phone call can be pleasant sur- prises, in the wrong moment they may be disrupting a time of focused work and concentration. A lack of coordination between colleagues at the work place can lead to unwanted interruptions and result in an inef- ficient and unpleasant workplace. MATe (Mate for Awareness in Teams) is a pervasive, ambient intelligent computing framework charged with the task of preventing unwanted interruptions and improving social in- teraction at the workplace of knowledge workers. We present a survey of employees at a university in order to identify the attitudes of knowledge workers towards interruptions as well as their opinions on a pervasive system surveying and analyzing their behavior. Based on the results of this survey a prototype has been developed using an ontology written in OWL as a knowledge representation and logic-based reasoning to infer the users’ status and interruptibility.

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BT - Proceedings of MRC 2011, Modeling and Reasoning in Context, 7th International Workshop at CONTEXT 2011

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How About a MATe for Awareness in Teams

Abstract

UN SDGs

Dokumente

Weitere Links

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