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ULTEMAT: A mobile framework for smart ecological momentary assessments and interventions

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Show simple item record Van de Ven, Pepijn O'Brien, Hugh Henriques, Ricardo Klein, Michel Msetfi, Rachel M. Nelson, John Rocha, Artur Ruwaard, Jeroen O'Sullivan, Donal Riper, Heleen 2017-07-14T08:21:18Z 2017-07-14T08:21:18Z 2017
dc.description peer-reviewed en_US
dc.description.abstract In this paper we introduce a new Android library, called ULTEMAT, for the delivery of ecological momentary assessments (EMAs) on mobile devices and we present its use in the MoodBuster app developed in the H2020 ECOMPARED project. We discuss context-aware, or event-based, triggers for the presentation of EMAs and discuss the potential they have to improve the effectiveness of mobile provision of mental health interventions as they allow for the delivery of assessments to the patients when and where these are most appropriate. Following this, we present the abilities of ULTEMAT to use such context-aware triggers to schedule EMAs and we discuss how a similar approach can be used for Ecological Momentary Interventions (EMIs). en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.relation 603098-2 en_US
dc.relation.ispartofseries Internet Interventions;9, pp. 74-81
dc.relation.uri E-COMPARED 603098-2
dc.rights This is the author’s version of a work that was accepted for publication in Internet Interventions. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Internet Interventions, 9, pp. 74-81, en_US
dc.subject EMA en_US
dc.subject in the moment assessments en_US
dc.subject experience sampling en_US
dc.subject context awareness en_US
dc.title ULTEMAT: A mobile framework for smart ecological momentary assessments and interventions en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1016/j.invent.2017.07.001
dc.contributor.sponsor ERC en_US
dc.relation.projectid 603098-2 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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