Large scale User Experience research on trivago Intelligence

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dc.contributor Manresa Yee, Cristina Suemay Babahmetovic, Dino 2018 2019-05-10T07:18:29Z 2019-05-10T07:18:29Z 2018-07-02
dc.description.abstract [eng] In large companies with huge number of customers, like trivago, there is a high need for analyzing user experience on a large scale. User testing sessions have their own benefits for user experience research, but this approach is limited to small number of users. What needs to be applied is a modern and challenging concept that will analyze massive amount of data about the users’ behaviour, gathered from many different resources. For this purpose, convenient concepts have been utilized with one of the vital trivago platforms for its partners called trivago Intelligence. Evaluation of the heat maps has been performed for analyzing the users’ interaction with user interface, while HEART framework and Goals-SignalsMetrics process (developed by Google) have been applied for tracking the user actions. These users actions have been defined with metrics that are used for measuring the progress of the product towards key goals while making user-centered decisions. ca
dc.format application/pdf
dc.language.iso eng ca
dc.publisher Universitat de les Illes Balears
dc.rights all rights reserved
dc.rights info:eu-repo/semantics/openAccess
dc.subject 004 - Informàtica ca
dc.subject 62 - Enginyeria. Tecnologia ca
dc.subject.other User actions ca
dc.subject.other Heat maps ca
dc.subject.other Metrics ca
dc.subject.other Logs ca
dc.subject.other User tracking ca
dc.subject.other Feature goals ca
dc.title Large scale User Experience research on trivago Intelligence ca
dc.type info:eu-repo/semantics/masterThesis ca
dc.type info:eu-repo/semantics/publishedVersion 2018-12-20T09:46:34Z

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