An adaptive e-questionnaire for measuring user perceived portal quality

Magoutas, B; Schmidt, K-U; Mentzas, G; Stojanovic, L

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