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Assessment of activity trackers: toward an acceptance model

2016Conference object Open access
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dc.contributor.authorSol, Ricardo
dc.contributor.authorBaras, Karolina
dc.date.accessioned2022-08-02T14:27:44Z
dc.date.available2022-08-02T14:27:44Z
dc.date.issued2016
dc.description.abstractIn this project we seek to understand the factors that influence user acceptance of Activity Trackers, through a model that quantifies how users come to adhere to the use of Activity Trackers. The proposed research model and hypotheses were validated and tested with data collected from a cross-sectional survey conducted using a self-selected convenience sample. Constructs from half dozen of established models were gathered into a suppositional model, based on their hypothetical applicable relevance for the Activity Trackers use. The results were analyzed using a variety of statistical techniques including Structural Equation analysis. The final result can be a first step for researchers aiming to complement their own processes of study, ideation or design of Activity by taking into account factors such as Usefulness, Ease of Use, Health Consciousness, Hedonic Motivation, Image, Habit, etc.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSol, R., & Baras, K. (2016, September). Assessment of activity trackers: toward an acceptance model. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (pp. 570-575). http://dx.doi.org/10.1145/2968219.2968323pt_PT
dc.identifier.doi10.1145/2968219.2968323pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4498
dc.language.isoengpt_PT
dc.publisherACMpt_PT
dc.relationLaboratory for Robotics and Engineering Systems
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectUser acceptancept_PT
dc.subjectUbiquitous systemspt_PT
dc.subjectPersonal informaticspt_PT
dc.subjectPersonal data trackingpt_PT
dc.subjectWearable computerspt_PT
dc.subjectSportspt_PT
dc.subjectExercisept_PT
dc.subjectSurveypt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleAssessment of activity trackers: toward an acceptance modelpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleLaboratory for Robotics and Engineering Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50009%2F2013/PT
oaire.citation.endPage575pt_PT
oaire.citation.startPage570pt_PT
oaire.citation.titleProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunctpt_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.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication13e11711-0ef8-40f2-805c-a3b707516d54
relation.isAuthorOfPublication.latestForDiscoverycd7213b6-ad9b-4cb9-b0f0-accb7eb6cead
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