Uncovering associations between users' behaviour and their flow experience

dc.contributor.authorOliveira, Wilkcs
dc.contributor.authorHamari, Juhocs
dc.contributor.authorFerreira, Williamcs
dc.contributor.authorPastushenko, Olenacs
dc.contributor.authorToda, Armandocs
dc.contributor.authorToledo Palomino, Paulacs
dc.contributor.authorIsotani, Seijics
dc.coverage.issue14cs
dc.coverage.volume43cs
dc.date.accessioned2025-06-12T09:55:52Z
dc.date.available2025-06-12T09:55:52Z
dc.date.issued2024-10-25cs
dc.description.abstractFlow experience is one of the most ambitious targets of any user interface designer. However, it has remained elusive to evaluate how well user interfaces give rise to flow experience outside conducting invasive self-reporting-based questionnaires, which remove the users from the flow experience and can't be massively applied. At the same time, otherwise, well-built systems do track the behaviour of users on the interface, and therefore, user behaviour data could act as a reliable proxy for assessing the experience of users. Currently, there is little empirical research or data about which indices of user behaviours might correspond with having a flow experience as well as the different psychological constituents of the flow experience. Therefore, facing the challenge of using users' behaviour data to model users' experience, we investigated the associations between users' behaviour data (e.g. mouse clicks, activity time in the system, and average response time) and their self-reported flow experience by using data mining (i.e. associations rules) analysing data from 204 subjects. Results demonstrate that the speed of users' actions negatively affects the flow experience antecedents while also positively affecting the loss of self-consciousness. Our study advances the literature, providing insights to identify users' flow experience through behaviour data.en
dc.formattextcs
dc.format.extent3416-3435cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationBEHAVIOUR & INFORMATION TECHNOLOGY. 2024, vol. 43, issue 14, p. 3416-3435.en
dc.identifier.doi10.1080/0144929X.2023.2276822cs
dc.identifier.issn0144-929Xcs
dc.identifier.orcid0000-0002-0388-3115cs
dc.identifier.other197615cs
dc.identifier.scopus57201580474cs
dc.identifier.urihttps://hdl.handle.net/11012/252166
dc.language.isoencs
dc.publisherTAYLOR & FRANCIS LTDcs
dc.relation.ispartofBEHAVIOUR & INFORMATION TECHNOLOGYcs
dc.relation.urihttps://www.tandfonline.com/doi/epdf/10.1080/0144929X.2023.2276822?src=getftr&getft_integrator=scopuscs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0144-929X/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectFlow experienceen
dc.subjectuser interfaceen
dc.subjectuser experienceen
dc.subjectinformation systemsen
dc.subjectaccessibilityen
dc.titleUncovering associations between users' behaviour and their flow experienceen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-197615en
sync.item.dbtypeVAVen
sync.item.insts2025.06.12 11:55:52en
sync.item.modts2025.06.12 11:33:04en
thesis.grantorVysoké učení technické v Brně. Fakulta informačních technologií. Ústav informačních systémůcs
thesis.grantorVysoké učení technické v Brně. . Tampere University of Technologycs
thesis.grantorVysoké učení technické v Brně. . University of Cambridgecs
thesis.grantorVysoké učení technické v Brně. . UNIVERSITY OF DURHAMcs
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