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dc.contributor.authorGołębiowska, Izabela
dc.contributor.authorOpach, Tomasz
dc.contributor.authorRød, Jan Ketil
dc.date.accessioned2017-12-15T15:24:13Z
dc.date.available2017-12-15T15:24:13Z
dc.date.created2016-05-18T22:48:48Z
dc.date.issued2016
dc.identifier.citationInternational Journal of Geographical Information Science. 2016, 31 (2), 237-252.nb_NO
dc.identifier.issn1365-8816
dc.identifier.urihttp://hdl.handle.net/11250/2472247
dc.description.abstractGeographic visualization tools with coordinated and multiple views (CMV) typically provide sets of visualization methods. Such configuration gives users the possibility of investigating data in various visual contexts; however, it can be confusing due to the multiplicity of visual components and interactive functions. We addressed this challenge and conducted an empirical study on how a CMV tool, consisting of a map, a parallel coordinate plot (PCP), and a table, is used to acquire information. We combined a task-based approach with eye-tracking and usability metrics since these methods provide comprehensive insights into users’ behaviour. Our empirical study revealed that the freedom to choose visualization components is appreciated by users. The individuals worked with all the available visualization methods and they often used more than one visualization method when executing tasks. Different views were used in different ways by various individuals, but in a similarly effective way. Even PCP, which is claimed to be problematic, was found to be a handy way of exploring data when accompanied by interactive functions.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleFor your eyes only? Evaluating a coordinated and multiple views tool with a map, a parallel coordinated plot and a table using an eye-tracking approachnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber237-252nb_NO
dc.source.volume31nb_NO
dc.source.journalInternational Journal of Geographical Information Sciencenb_NO
dc.source.issue2nb_NO
dc.identifier.doi10.1080/13658816.2016.1191636
dc.identifier.cristin1356170
dc.relation.projectNorges forskningsråd: 235490nb_NO
dc.relation.projectNorges forskningsråd: 227305nb_NO
dc.description.localcode© 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/),which permits non-commercial re-use, distribution, and reproduction in anymedium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.nb_NO
cristin.unitcode194,67,10,0
cristin.unitnameInstitutt for geografi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.fulltextoriginal
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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