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dc.contributor.authorTessem, Bjørnar
dc.contributor.authorBjørnestad, Solveig
dc.contributor.authorChen, Weiqin
dc.contributor.authorNyre, Lars
dc.date.accessioned2017-01-31T10:55:18Z
dc.date.available2017-01-31T10:55:18Z
dc.date.issued2015-12-22
dc.identifier.issn1748-9725
dc.identifier.otherFRIDAID 1315955
dc.identifier.urihttps://hdl.handle.net/10642/3541
dc.description.abstractThis article describes an explorative study of a prototype for visualisation of locative information from Wikipedia. PediaCloud is a smartphone app that uses word clouds for graphical display of links to text and photos relating to a particular place. This approach to accessing location-based information is different from more common approach of using interactive maps to visualise the information. PediaCloud gives you a word cloud representing your location, and the words are links to Wikipedia articles. In addition to reading the Wikipedia entries, you can re-centre your information probe by getting a topical word cloud weighting the located information content in relation to that particular word. This results in word cloud visualisations that could bring the user into a variety of topics. In this article, we explore the potential use value of a service like this and identify opportunities for further design and development. PediaCloud was tested in 2014 in a field trial in London, a big city with large amounts of located information, with eight participants from the city. The data collected indicate that PediaCloud will be experienced as an explorative locative service, where you discover nearby information by coincidence rather than after searching for it instrumentally. The analysis has explored the nuances and potentials of this ‘sideways’ search that is embedded in PediaCloud, and shows how this can be considered a serendipitous search approach, giving the users information in a manner that can be considered fun, surprising and interesting.language
dc.language.isoenlanguage
dc.publisherTaylor & Francislanguage
dc.rightsCopyright 2015 The Author(s). Published by Taylor & Francis. 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 any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.language
dc.subjectSemantic weblanguage
dc.subjectLocative informationlanguage
dc.subjectWord cloudlanguage
dc.subjectField triallanguage
dc.subjectUser experiencelanguage
dc.subjectSerendipitous searchlanguage
dc.titleWord cloud visualisation of locative informationlanguage
dc.typeJournal articlelanguage
dc.typePeer reviewedlanguage
dc.description.versionpublishedVersionlanguage
dc.identifier.doihttp://dx.doi.org/10.1080/17489725.2015.1118566


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