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Usability of an intelligent virtual assistant for promoting behavior change and self-care in older people with Type 2 Diabetes

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dc.contributor.authorBalsa, João
dc.contributor.authorFélix, Isa
dc.contributor.authorCláudio, Ana Paula
dc.contributor.authorCarmo, Maria Beatriz
dc.contributor.authorSilva, Isabel Costa e
dc.contributor.authorGuerreiro, Ana
dc.contributor.authorGuedes, Maria
dc.contributor.authorHenriques, Adriana
dc.contributor.authorGuerreiro, Mara Pereira
dc.date.accessioned2020-06-16T15:20:31Z
dc.date.available2020-06-16T15:20:31Z
dc.date.issued2020
dc.description© Springer Science+Business Media, LLC, part of Springer Nature 2020pt_PT
dc.description.abstractIn the context of the VASelfCare project, we developed an application prototype of an intelligent anthropomorphic virtual assistant. Designed as a relational agent, the virtual assistant has the role of supporting older people with Type 2 Diabetes Mellitus (T2D) in medication adherence and lifestyle changes. Our paper has two goals: describing the essentials of this prototype, and reporting on usability evaluation. We describe the general architecture of the prototype, including the graphical component, and focus on its main feature: the incorporation, in the way the dialogue flows, of Behavior Change Techniques, identified through a theoretical framework, the Behaviour Change Wheel. Usability was experimentally evaluated in field tests in a purposive sample of 20 participants (11 older adults with T2D and 9 experts). The Portuguese version of the System Usability Scale was employed, supplemented with qualitative data from open questions, diaries, digital notes and telephone follow-ups. The aggregated mean SUS score was 73,75 (SD 13,31), which corresponds to a borderline rating of excellent. Textual data were content analyzed and will be prioritized to further improve usability.pt_PT
dc.description.sponsorshipThis work was supported by FCT and Compete 2020 (grant number LISBOA-01-0145-FEDER-024250). It is also supported by UID/MULTI /04046/2019 Research Unit grant from FCT, Portugal (to BioISI).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJournal of Medical Systems (2020) 44: 130pt_PT
dc.identifier.doi10.1007/s10916-020-01583-wpt_PT
dc.identifier.eissn1573-689X
dc.identifier.urihttp://hdl.handle.net/10451/43839
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationLISBOA-01-0145-FEDER-024250pt_PT
dc.relationUID/MULTI /04046/2019pt_PT
dc.relation.publisherversionhttps://www.springer.com/journal/10916pt_PT
dc.subjectIntelligent virtual assistantspt_PT
dc.subjectUsabilitypt_PT
dc.subjectRelational agentspt_PT
dc.subjectBehavior changept_PT
dc.subjectmHealth applicationspt_PT
dc.subjectDiabetespt_PT
dc.titleUsability of an intelligent virtual assistant for promoting behavior change and self-care in older people with Type 2 Diabetespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue7pt_PT
oaire.citation.startPage130pt_PT
oaire.citation.titleJournal of Medical Systemspt_PT
oaire.citation.volume44pt_PT
person.familyNameBalsa da Silva
person.familyNamePereira Henriques
person.givenNameJoão
person.givenNameMaria Adriana
person.identifier.ciencia-id0016-C7A7-2778
person.identifier.ciencia-idAF1D-BBCE-1E5D
person.identifier.orcid0000-0001-8896-8152
person.identifier.orcid0000-0003-0288-6653
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationedace05a-413e-4881-8724-a3560c8f8d8e
relation.isAuthorOfPublication0e1834cd-ef87-4fdc-98f9-5b90b6acecb6
relation.isAuthorOfPublication.latestForDiscovery0e1834cd-ef87-4fdc-98f9-5b90b6acecb6

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