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Using Web Analytics to Investigate the Navigational Behavior of Users

dc.contributor.authorAhrens, Marcde_DE
dc.contributor.authorKölle, Ralphde_DE
dc.contributor.authorWerner, Katrinde_DE
dc.contributor.authorMandl, Thomasde_DE
dc.contributor.editorButz, Andreasde_DE
dc.contributor.editorKoch, Michaelde_DE
dc.contributor.editorSchlichter, Johannde_DE
dc.date.accessioned2017-11-22T14:55:42Z
dc.date.available2017-11-22T14:55:42Z
dc.date.issued2014
dc.description.abstractToday, web analytics and big data provide the basis for the evaluations of websites. However, the interpretation of this data in terms of Human Computer Interaction (HCI) can be challenging and there has been little progress in the systematic exploration of the potentials of web analytics within the usability evaluation domain. In this paper, we introduce a new approach to analyzing large amounts of usage data with the goal to detect usability problems in the use of a website. The underlying idea was that the analysis of patterns can support the HCI analysis of a website. To this end, we developed an extension for the open source web analytics package Piwik that allows investigating the navigational behavior of users through the abstraction of individual interaction paths. The developed system supports data mining on navigation logs and the discovery of interesting patterns.de_DE
dc.identifier.isbn978-3-11-034448-6de_DE
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/7547
dc.language.isoende_DE
dc.publisherDe Gruyter Oldenbourgde_DE
dc.relation.ispartofMensch & Computer 2014 - Tagungsbandde_DE
dc.subjectweb analyticsde_DE
dc.subjectusabilityde_DE
dc.subjectnavigation patternsde_DE
dc.subjectEvaluationsverfahrende_DE
dc.titleUsing Web Analytics to Investigate the Navigational Behavior of Usersde_DE
dc.typeText/Conference Paperde_DE
gi.citation.endPage104
gi.citation.publisherPlaceBerlinde_DE
gi.citation.startPage095de_DE
gi.conference.sessiontitleEvaluation und Qualitätsbewertungde_DE
gi.document.qualitydigidocde_DE

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