Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/31330
DC FieldValueLanguage
dc.contributor.authorNicolaidou, Despo-
dc.contributor.authorNicolaidou, Iolie-
dc.date.accessioned2024-02-19T09:06:49Z-
dc.date.available2024-02-19T09:06:49Z-
dc.date.issued2023-07-10-
dc.identifier.citationEdMedia + Innovate Learning, 2023, 10 - 14 July, Vienna, Austriaen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/31330-
dc.description.abstractElevated levels of anxiety may negatively impact students’ learning. Self-reported questionnaires, such as the Generalized Anxiety Disorder questionnaire (GAD-7), suffer from recall bias and provide only a snapshot view of an individual's perceived stress. Smartwatches have stress detection functions using Heart Rate Variability (HRV) and can be used to estimate the body’s stress levels unobtrusively, in detail, and accurately. The effectiveness of applications designed to support students in managing anxiety can be evaluated using validated questionnaires, smartwatches, or both. This pilot methodological case-study attempted to compare 24 users’ self-perceived stress (measured with the GAD-7 questionnaire) and physical stress (measured by smartwatches) over 14 days. The research question of the study was: How do questionnaires and smart sensors classify users based on reported or measured stress levels? Findings indicated a satisfactory level of agreement between the two data collection methods as 16/24 users were classified in categories of “minimal” to “mild” levels of anxiety (based on GAD-7) and of “low” to “moderate” stress level (based on smartphones) and 8/24 users were classified in categories of “moderate” to “severe” levels of anxiety (based on GAD-7) and of “high” to “extremely high” stress level (based on smartphones). Both self-reported measures and wearable sensors can be used to evaluate the effectiveness of applications for stress management.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectStress managementen_US
dc.subjectMobile applicationsen_US
dc.subjectQuestionnairesen_US
dc.subjectSmartwatchesen_US
dc.subjectWearablesen_US
dc.titleEvaluating the effectiveness of stress management applications: questionnaires or wearables? A methodological studyen_US
dc.typeConference Papersen_US
dc.linkhttps://www.learntechlib.org/p/222500/en_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryOther Social Sciencesen_US
dc.countryCyprusen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceEdMedia + Innovate Learningen_US
cut.common.academicyear2022-2023en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Communication and Internet Studies-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0002-8267-0328-
crisitem.author.parentorgFaculty of Communication and Media Studies-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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