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dc.contributor.authorYlitalo, Anna-Kaisa
dc.contributor.authorSärkkä, Aila
dc.contributor.authorGuttorp, Peter
dc.date.accessioned2016-08-24T10:44:19Z
dc.date.available2016-08-24T10:44:19Z
dc.date.issued2016
dc.identifier.citationYlitalo, A.-K., Särkkä, A., & Guttorp, P. (2016). What we look at in Paintings : A Comparison Between Experienced and Inexperienced Art Viewers. <i>Annals of Applied Statistics</i>, <i>10</i>(2), 549-574. <a href="https://doi.org/10.1214/16-AOAS921" target="_blank">https://doi.org/10.1214/16-AOAS921</a>
dc.identifier.otherCONVID_26157502
dc.identifier.otherTUTKAID_70870
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/51049
dc.description.abstractHow do people look at art? Are there any differences between how experienced and inexperienced art viewers look at a painting? We approach these questions by analyzing and modeling eye movement data from a cognitive art research experiment, where the eye movements of twenty test subjects, ten experienced and ten inexperienced art viewers, were recorded while they were looking at paintings. Eye movements consist of stops of the gaze as well as jumps between the stops. Hence, the observed gaze stop locations can be thought of as a spatial point pattern, which can be modeled by a spatio-temporal point process. We introduce some statistical tools to analyze the spatio-temporal eye movement data, and compare the eye movements of experienced and inexperienced art viewers. In addition, we develop a stochastic model, which is rather simple but fits quite well to the eye movement data, to further investigate the differences between the two groups through functional summary statistics.
dc.language.isoeng
dc.publisherInstitute of Mathematical Statistics
dc.relation.ispartofseriesAnnals of Applied Statistics
dc.subject.otherart viewers
dc.subject.othercognitive art research
dc.subject.otherpoint process
dc.subject.othershift function
dc.subject.othertransition probability
dc.titleWhat we look at in Paintings : A Comparison Between Experienced and Inexperienced Art Viewers
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201608113775
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosMusiikin laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.contributor.laitosDepartment of Musicen
dc.contributor.oppiaineMusiikkitiedefi
dc.contributor.oppiaineTilastotiedefi
dc.contributor.oppiaineMusicologyen
dc.contributor.oppiaineStatisticsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2016-08-11T12:15:03Z
dc.type.coarjournal article
dc.description.reviewstatuspeerReviewed
dc.format.pagerange549-574
dc.relation.issn1932-6157
dc.relation.numberinseries2
dc.relation.volume10
dc.type.versionpublishedVersion
dc.rights.copyright© Institute of Mathematical Statistics, 2016. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.subject.ysosilmänliikkeet
jyx.subject.urihttp://www.yso.fi/onto/yso/p23744
dc.relation.doi10.1214/16-AOAS921


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