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A User Interface Concept for Context-Aware Recommender Systems

dc.contributor.authorHiesel, Patrick
dc.contributor.authorWörndl, Wolfgang
dc.contributor.authorBraunhofer, Matthias
dc.contributor.authorHerzog, Daniel
dc.contributor.editorPrinz, Wolfgang
dc.contributor.editorBorchers, Jan
dc.contributor.editorJarke, Matthias
dc.date.accessioned2017-06-17T20:14:17Z
dc.date.available2017-06-17T20:14:17Z
dc.date.issued2016
dc.description.abstractA context-aware recommender system incorporates the knowledge of different contextual factors - such as time or weather information - to improve the item suggestions made to a user. While this provides great benefit to users, it might be hard for them to grasp why certain items are relevant, given the complexity of a context-aware recommender. In this paper, we propose, implement and evaluate a user interface concept that seeks to tackle this challenge. We show how popularity graphs can be used to inform the user about the relevance of items in different contexts and how users perceive different contextual factors given our concept. A user study with 14 participants demonstrates that our concept is valid and appreciated by users.
dc.identifier.doi10.18420/muc2016-mci-0092
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/221
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2016 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectrecommender systems
dc.subjectcontext
dc.subjectmobile applications
dc.subjectproactivity
dc.subjectuser study
dc.titleA User Interface Concept for Context-Aware Recommender Systems
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date4.-7. September 2016
gi.conference.locationAachen
gi.conference.sessiontitleRecommender, Multi-touch und Third Space
gi.document.qualitydigidocde_DE

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