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Representing meaning in user experience by visualizing empirical data

DC Field Value Language
dc.contributor.authorJung, E.C.-
dc.contributor.authorKim, E.J.-
dc.date.accessioned2023-06-27T06:37:47Z-
dc.date.available2023-06-27T06:37:47Z-
dc.date.created2023-06-16-
dc.date.issued2017-05-
dc.identifier.citationLecture Notes in Computer Science, Vol.10297-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/10371/192894-
dc.description.abstractThe study aimed to represent insightful meaning in user experiences by transforming empirical data into visible structural formats in a variety of aspects. To achieve the goal, components of user experience and the process of information visualization from the literature were reviewed. The general process consists of four steps: (1) defining the dimension to construct the data structure, (2) setting the topology to develop the visual structure, (3) giving the relation among the plotted data on the topological map, and (4) integrating the maps to find insightful data patterns by extending and modifying the visual structure. A case study was conducted to demonstrate how the process can be applied. The finding shows how the components and structure have been organized and transformed to provide perceivable information for user experience design. © Springer International Publishing AG 2017.-
dc.language영어-
dc.publisherSpringer Verlag-
dc.titleRepresenting meaning in user experience by visualizing empirical data-
dc.typeArticle-
dc.identifier.doi10.1007/978-3-319-58530-7_10-
dc.citation.journaltitleLecture Notes in Computer Science-
dc.identifier.scopusid2-s2.0-85025151422-
dc.citation.volume10297-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorJung, E.C.-
dc.description.journalClass1-
dc.subject.keywordAuthorData transformation-
dc.subject.keywordAuthorDesign methodology-
dc.subject.keywordAuthorUser centered design-
dc.subject.keywordAuthorUser experience-
dc.subject.keywordAuthorVisualization-
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