Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4076
DC FieldValueLanguage
dc.contributor.authorChristoforou, Christoforos-
dc.contributor.authorZaphiris, Panayiotis-
dc.contributor.authorMichailidou, Eleni-
dc.contributor.otherΖαφείρης, Παναγιώτης-
dc.contributor.otherΜιχαηλίδου, Ελένη-
dc.date.accessioned2014-07-09T11:09:03Z-
dc.date.accessioned2015-12-09T11:18:55Z-
dc.date.available2014-07-09T11:09:03Z-
dc.date.available2015-12-09T11:18:55Z-
dc.date.issued2014-
dc.identifier.citationHCI in Business Lecture Notes in Computer Science Volume 8527, 2014, pp 670-680en
dc.identifier.isbn978-3-319-07293-7-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/4076-
dc.description.abstractThis paper presents the pilot study of a project for which the main aim is to implement an evaluation methodology service for the identification of the best locations on Cypriot web space based on eye tracking studies. Advertising budget, social demographics and web usage are some of the factors that are being considered. During this pilot study, a description in existing patterns of advertisement placement on websites is first presented. Then we present the methodologies of two pilot studies where user data are collected with the use of eye tracking technologies in order to understand how users look at Web advertising and how effective each location is as well as Marketers’ questionnaire. Stimuli were three Cypriot websites with advertisements of various types and three locations: ads being static and animated, types being skyscraper and display ads and location varied around the page. Eye-tracking data are compared to ad choices of marketing managers in Cyprus who rated the ad position and it’s attention value. Results demonstrate the correlation between user attention, advert types and the value as rated by marketers. This pilot study revealed conclusions that could form the basis towards predicting ad effectiveness of webpages with the use of ad number, location, size, and type.en
dc.formatpdfen
dc.language.isoenen
dc.rights© Springer, Part of Springer Science+Business Mediaen
dc.subjectAdvert attentionen
dc.subjectOnline advertisingen
dc.subjectEye trackingen
dc.subjectCPMen
dc.titleTowards Predicting Ad Effectiveness via an Eye Tracking Studyen
dc.typeBook Chapteren
dc.collaborationCyprus University of Technology-
dc.collaborationResearch Center, R.K.I.-
dc.subject.categoryArtsen
dc.countryCyprus-
dc.subject.fieldHumanitiesen
dc.identifier.doi10.1007/978-3-319-07293-7_65en
dc.dept.handle123456789/126en
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypebookPart-
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
crisitem.author.deptDepartment of Multimedia and Graphic Arts-
crisitem.author.deptDepartment of Multimedia and Graphic Arts-
crisitem.author.facultyFaculty of Fine and Applied Arts-
crisitem.author.facultyFaculty of Fine and Applied Arts-
crisitem.author.orcid0000-0001-8112-5099-
crisitem.author.parentorgFaculty of Fine and Applied Arts-
crisitem.author.parentorgFaculty of Fine and Applied Arts-
Appears in Collections:Κεφάλαια βιβλίων/Book chapters
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