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An adaptive e-questionnaire for measuring user perceived portal quality

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dc.contributor.author Magoutas, B en
dc.contributor.author Schmidt, K-U en
dc.contributor.author Mentzas, G en
dc.contributor.author Stojanovic, L en
dc.date.accessioned 2014-03-01T01:32:37Z
dc.date.available 2014-03-01T01:32:37Z
dc.date.issued 2010 en
dc.identifier.issn 1071-5819 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20194
dc.subject Adaptive en
dc.subject e-Government en
dc.subject E-questionnaire en
dc.subject Ontology en
dc.subject Personalization en
dc.subject Quality measurement en
dc.subject.classification Computer Science, Cybernetics en
dc.subject.classification Ergonomics en
dc.subject.classification Psychology, Multidisciplinary en
dc.subject.other Adaptive en
dc.subject.other Adaptive quality en
dc.subject.other e-Government en
dc.subject.other E-Government portals en
dc.subject.other E-services en
dc.subject.other Personalizations en
dc.subject.other Quality assessment en
dc.subject.other Quality measurements en
dc.subject.other Questionnaire systems en
dc.subject.other Real-time feedback en
dc.subject.other Three axes en
dc.subject.other User behaviors en
dc.subject.other User experience en
dc.subject.other User feedback en
dc.subject.other Value added en
dc.subject.other Behavioral research en
dc.subject.other Government data processing en
dc.subject.other Metadata en
dc.subject.other Ontology en
dc.subject.other Surveys en
dc.subject.other Mathematical models en
dc.title An adaptive e-questionnaire for measuring user perceived portal quality en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.ijhcs.2010.06.003 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.ijhcs.2010.06.003 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract In this paper we describe an adaptive e-questionnaire system that can be used for measuring user feedback concerning the quality of portals and e-services. The proposed system applies three axes of adaptation: based on real-time feedback from users through questionnaires, based on problems encountered by the user and based on metadata of the pages visited by the user. The system is based on a model for adaptive quality measurement (MAQM), which comprises different ontologies including concepts regarding the quality of portal and e-services, the questions and questionnaires, the portal characteristics (e.g. page types), the user behavior and the user-encountered problems. The results of evaluating the system's usefulness in an e-government portal are indicative of the value added of our approach. The user experience associated with the quality assessment process is improved and the portal provider gets better feedback in terms of quantity and quality. © 2010 Elsevier Ltd. All rights reserved. en
heal.publisher ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD en
heal.journalName International Journal of Human Computer Studies en
dc.identifier.doi 10.1016/j.ijhcs.2010.06.003 en
dc.identifier.isi ISI:000281509200009 en
dc.identifier.volume 68 en
dc.identifier.issue 10 en
dc.identifier.spage 729 en
dc.identifier.epage 745 en


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