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dc.contributor.authorBesginow, Andreas
dc.contributor.authorBüttner, Sebastian
dc.contributor.authorRöcker, Carsten
dc.contributor.editorDachselt, Raimund
dc.contributor.editorWeber, Gerhard
dc.date.accessioned2018-08-18T10:42:26Z
dc.date.available2018-08-18T10:42:26Z
dc.date.issued2018
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/16829
dc.description.abstractIn this paper we give an overview of features and use cases that Intelligent Adaptive Assistance Systems (IAAS) in the literature commonly provide. For this, a literature research has been executed where 29 papers were selected for inspection. In the course of this inspection, most common features are noted, compared and assessed against the definitions we gave for an IAAS. It showed that the development of IAAS can benefit from an intensified research in cooperation with machine learning experts to further develop the intelligence and adaptivity of future IAAS.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2018 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.titleIntelligent Adaptive Assistance Systems in an Industrial Context – Overview of Use Cases and Featuresen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.document.qualitydigidoc
mci.conference.sessiontitleMCI-WS18: Smart Factories: Mitarbeiter-zentrierte Informationssysteme für die Zusammenarbeit der Zukunft
mci.conference.locationDresden
mci.conference.date2.-5. September 2018
dc.identifier.doi10.18420/muc2018-ws18-0533


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