Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18482
DC FieldValueLanguage
dc.contributor.advisorKarapanos, Evangelos-
dc.contributor.authorDrenea, Victor-
dc.date.accessioned2020-07-16T08:15:53Z-
dc.date.available2020-07-16T08:15:53Z-
dc.date.issued2020-05-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/18482-
dc.description.abstractAccording to World Health Organization (2018), there is an 8% increase in the death rate over the past decade, attributed to Non communicable diseases (NCDs), that are defined as long term, not transmissible diseases whose evolution is generally slow (WHO, 2018). One of the leading risk factors from non communicable diseases is physical inactivity. Physical activity trackers have shown been promising to fight physical inactivity (Hoy, 2016). However, recent studies have shown that by using physical activity trackers brings some side effects such as reducing the enjoyment of walking (Etkin, 2016). Furthermore, another side effect that could appear by using a physical activity tracker is a dependence effect (Attig, 2019). Dependence effect according to Attig (2019) refers to the need of users to be awarded by the activity tracker so he will do physical activity (e.g. Go for a walk). Although in Etkin (2016) and Attig (2019) studies, the dependence effect was measured through self-reports. The scope of this thesis is to examine the likelihood of dependency effect when using activity trackers, through a four-week quasi experimental study using objective behavioral metrics. Specifically, the goal of this thesis is to examine whether by giving participants notifications whenever they have to stand up and take a walk, will over time reduce the capacity to regulate their behavior. If this reduction of monitoring themselves will appear that means that a dependency effect on the activity trackers to do physical activity is developed. In order to do this, an app will be developed that will enable the option to make interventions as well as monitor users behavior. In the following chapters we will first motivate the need for this research, then we will introduce the theoretical framework which is self-regulation theory, after we will perform a literature review on the topic. Lastly, we will describe the methodology as well as the process we used to design and develop the app that is required for the interventionsen_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.publisherDepartment of Communication and Internet Studies, Faculty of Communication and Media Studies, Cyprus University of Technologyen_US
dc.rightsΑπαγορέυεται η δημοσίευση ή αναπαραγωγή,ηλεκτρονική η άλλη χωρίς τη γραπτή συγκατάθεση του δημιουργού και κατόχου των πνευματικών δικαιωμάτων.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectPhysical inactivityen_US
dc.subjectPhysical activity trackeren_US
dc.titleDo activity trackers lead to a dependency effect?en_US
dc.typeBachelors Thesisen_US
dc.affiliationCyprus University of Technologyen_US
dc.relation.deptDepartment of Communication and Internet Studiesen_US
dc.description.statusCompleteden_US
cut.common.academicyear2019-2020en_US
dc.relation.facultyFaculty of Communication and Media Studiesen_US
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_46ec-
item.openairetypebachelorThesis-
item.languageiso639-1en-
crisitem.author.deptDepartment of Communication and Internet Studies-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0001-5910-4996-
crisitem.author.parentorgFaculty of Communication and Media Studies-
Appears in Collections:Πτυχιακές Εργασίες/ Bachelor's Degree Theses
Files in This Item:
File Description SizeFormat
Victor Drenea.pdfFulltext632.71 kBAdobe PDFView/Open
CORE Recommender
Show simple item record

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons