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dc.contributor.authorLoepp, Benedikt
dc.contributor.editorWienrich, Carolin
dc.contributor.editorWintersberger, Philipp
dc.contributor.editorWeyers, Benjamin
dc.date.accessioned2021-09-05T18:56:36Z
dc.date.available2021-09-05T18:56:36Z
dc.date.issued2021
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/37375
dc.description.abstractOn the one hand, users’ decisionmaking in today’sweb is supported in numerous ways, with mechanisms ranging from manual search over automated recommendation to intelligent advisors. The focus on algorithmic accuracy, however, is questioned more and more. On the other hand, although the boundaries between the mechanisms are blurred increasingly, research on user-related aspects is still conducted separately in each area. In this position paper, we present a research agenda for providing a more holistic solution, in which users are supported with the right decision aid at the right time depending on personal characteristics and situational needs.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2021 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectDecision support
dc.subjectHuman factors
dc.subjectInformation filtering
dc.subjectAdaptive systems
dc.subjectRecommender systems
dc.subjectUser experience
dc.subjectUser modeling
dc.titleOn the Convergence of Intelligent Decision Aidsen
dc.typeText/Conference Poster
dc.pubPlaceBonn
mci.document.qualitydigidoc
mci.conference.sessiontitleMCI-WS02: UCAI 2021: Workshop on User-Centered Artificial Intelligence
mci.conference.locationIngolstadt
mci.conference.date5.-8. September 2021
dc.identifier.doi10.18420/muc2021-mci-ws02-371


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