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dc.contributor.authorFranken, Sebastiande_DE
dc.contributor.authorNorbisrath, Ulrichde_DE
dc.contributor.editorButz, Andreasde_DE
dc.contributor.editorKoch, Michaelde_DE
dc.contributor.editorSchlichter, Johannde_DE
dc.date.accessioned2017-11-22T14:55:56Z
dc.date.available2017-11-22T14:55:56Z
dc.date.issued2014
dc.identifier.isbn978-3-11-034448-6de_DE
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/7584
dc.description.abstractUsers frequently perform searches that do not only have simple fact retrieval in mind, but aim for more comprehensive results. These complex search tasks need to be distinguished from simple search tasks, where an information need can be fulfilled by simple fact finding. While search engine support for simple search tasks is satisfactory, it lacks in support for complex search tasks, leading to an increasing discontent about the interaction with the search engine of choice. In this paper we address the question, how to give tool support for complex search tasks. We present the logging framework ‘SearchTrails’, which captures the course of user actions of any search task and presents a corresponding graph visualization. We conducted a qualitative user study of SearchTrails and present first promising results.de_DE
dc.language.isoende_DE
dc.publisherDe Gruyter Oldenbourgde_DE
dc.relation.ispartofMensch & Computer 2014 - Tagungsbandde_DE
dc.subjectComplex searchde_DE
dc.subjectSearch supportde_DE
dc.subjectCollaborative searchde_DE
dc.subjectWeb 2.0 und Semantic Webde_DE
dc.subjectMobile und ubiquitäre Unterstützung für Wissensmanagementde_DE
dc.subjectHuman Computation und Crowdsourcingde_DE
dc.titleTrail Building During Complex Search Tasksde_DE
dc.typetalkde_DE
dc.pubPlaceBerlinde_DE
mci.document.qualitydigidocde_DE
mci.reference.pages135-144de_DE
mci.conference.sessiontitleMCI/CSCW 5de_DE


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