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Describing User Actions in Adaptive Interfaces with Probabilistic Acceptors

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dc.contributor.authorBezold, Matthiasde_DE
dc.contributor.editorHartmann, Melaniede_DE
dc.contributor.editorKrause, Danielde_DE
dc.contributor.editorNauerz, Andreasde_DE
dc.date.accessioned2017-11-15T15:00:46Z
dc.date.available2017-11-15T15:00:46Z
dc.date.issued2008
dc.description.abstractAn important aspect of adaptive systems is the description of the user-system interaction, which can be used to derive new information about the user and to trigger adaptations, for instance by means of adaptation rules. In this paper, we present an approach that describes user actions by means of probabilistic deterministic finite- state automatons (PDFA), which are generated from an annotated corpus of user interactions. Based on a training set, different acceptors are created from recording data and can be employed by an adaptation framework to trigger adaptation rules. An evaluation of this approach with a prototype of an interactive TV system is presented.
dc.identifier.urihttp://abis.l3s.uni-hannover.de/images/proceedings/abis2008/abis2008_bezold.pdfde_DE
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/5083
dc.language.isoende_DE
dc.relation.ispartof16th Workshop on Adaptivity and User Modeling in Interactive Systemsde_DE
dc.titleDescribing User Actions in Adaptive Interfaces with Probabilistic Acceptorsde_DE
dc.typeText/Conference Paper
gi.document.qualitydigidoc

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ABIS 2008 – 16th Workshop on Adaptivity and User Modeling in Interactive Systems