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Acceptance model in designing for extreme users: extreme athletes using activity trackers

2021Journal article Open access
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dc.contributor.authorSol, Ricardo
dc.contributor.authorBaras, Karolina
dc.date.accessioned2022-08-03T10:37:23Z
dc.date.available2022-08-03T10:37:23Z
dc.date.issued2021
dc.description.abstract‘Extreme Users’ (EU) is a design method in Human Computer Interaction, which allows user-centered design in design groups. ‘Acceptance Models’ is a theory in Information Systems, which models how users accept and use technology. We conducted a study to explore the relationships of the factors influencing Extreme Athletes in the acceptance and use of Activity Trackers (AT). The data was collected from a cross-sectional survey conducted using a self-selected convenience sample of 206. The research rendered an exploration and an examination of the factors affecting trail-running athletes. The results were analyzed using several statistical techniques including Structural Equation Analysis. Our goal was to observe to what extent the Health Information Technology Acceptance Model patterns and outlines EU use of AT. This contribution, to the best of our knowledge, is new given that the obtained model can be an initial quantitative working primary tool for designers using the EU design method.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSol, R., & Baras, K. (2021). Acceptance model in designing for extreme users: extreme athletes using activity trackers. Journal of Image and Graphics, 9(2), 31-38. doi: 10.18178/joig.9.2.31-38pt_PT
dc.identifier.doi10.18178/joig.9.2.31-38pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4502
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherJournal of Image and Graphicspt_PT
dc.relationLaboratory of Robotics and Engineering Systems
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectExtreme userspt_PT
dc.subjectUser centered designpt_PT
dc.subjectUbiquitous systemspt_PT
dc.subjectPersonal data trackingpt_PT
dc.subjectSportspt_PT
dc.subjectExercisept_PT
dc.subjectHealth information technology acceptance modelpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleAcceptance model in designing for extreme users: extreme athletes using activity trackerspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleLaboratory of Robotics and Engineering Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50009%2F2020/PT
oaire.citation.endPage38pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage31pt_PT
oaire.citation.titleJournal of Image and Graphicspt_PT
oaire.citation.volume9pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSol
person.familyNameBARAS
person.givenNameRicardo
person.givenNameKAROLINA
person.identifier.ciencia-id1613-EA48-D8AC
person.identifier.ciencia-id2713-BE39-CE26
person.identifier.orcid0000-0003-4333-7140
person.identifier.orcid0000-0002-2050-6565
person.identifier.scopus-author-id55786599700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication13e11711-0ef8-40f2-805c-a3b707516d54
relation.isAuthorOfPublication.latestForDiscoverycd7213b6-ad9b-4cb9-b0f0-accb7eb6cead
relation.isProjectOfPublicationc0352e81-99e6-4923-99ed-074df09e4db0
relation.isProjectOfPublication.latestForDiscoveryc0352e81-99e6-4923-99ed-074df09e4db0

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