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Modeling Age-related Differences in Information Search

dc.contributor.authorKaranam, Saraschandra
dc.contributor.authorOostendorp, Herre van
dc.contributor.editorWeyers, Benjamin
dc.contributor.editorDittmar, Anke
dc.date.accessioned2017-06-17T20:19:09Z
dc.date.available2017-06-17T20:19:09Z
dc.date.issued2016
dc.description.abstractA number of cognitive processes are involved in the process of information search: memory, attention, comprehension, problem solving, executive control and decision making. Several cognitive factors such as aging-related cognitive abilities in turn influence either positively or negatively the above cognitive processes. We argue that the traditional click models from information retrieval community that predict user clicks do not take into account the effects of aging. We propose to exploit the capabilities of computational cognitive models that can simulate the effects of cognitive factors on information search behavior. In this direction, we present some ideas to incorporate effects of aging into a computational cognitive model called CoLiDeS+. Preliminary analysis of our ideas on predicting individual differences due to aging effects show promising outcomes.
dc.identifier.doi10.18420/muc2016-ws05-0001
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/281
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2016 – Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.titleModeling Age-related Differences in Information Search
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date4.-7. September 2016
gi.conference.locationAachen
gi.conference.sessiontitleABIS 2017
gi.document.qualitydigidocde_DE

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