| dc.contributor.author | Pappas, Ilias | |
| dc.contributor.author | Sharma, Kshitij | |
| dc.contributor.author | Mikalef, Patrick | |
| dc.contributor.author | Giannakos, Michail | |
| dc.date.accessioned | 2020-06-15T12:27:32Z | |
| dc.date.available | 2020-06-15T12:27:32Z | |
| dc.date.created | 2020-04-11T10:52:02Z | |
| dc.date.issued | 2020 | |
| dc.identifier.citation | Lecture Notes in Computer Science (LNCS). 2020, 12067 429-440. | en_US |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2658092 | |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer | en_US |
| dc.title | How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data | en_US |
| dc.type | Journal article | en_US |
| dc.type | Peer reviewed | en_US |
| dc.description.version | acceptedVersion | en_US |
| dc.rights.holder | © 2020 Springer Verlag | en_US |
| dc.subject.nsi | VDP::Technology: 500::Information and communication technology: 550 | en_US |
| dc.source.pagenumber | 429-440 | en_US |
| dc.source.volume | 12067 | en_US |
| dc.source.journal | Lecture Notes in Computer Science (LNCS) | en_US |
| dc.identifier.doi | https://doi.org/10.1007/978-3-030-45002-1 | |
| dc.identifier.cristin | 1805844 | |
| cristin.ispublished | true | |
| cristin.fulltext | postprint | |
| cristin.qualitycode | 1 | |
