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Improving affective valuations of physical activity with mobile technology: A protocol for a hybrid factorial/micro-randomized trial

dc.contributor.authorChoi, Soo Ji
dc.contributor.advisorKlasnja, Pedja
dc.date.accessioned2022-08-26T19:29:17Z
dc.date.available2022-08-26T19:29:17Z
dc.date.issued2022-08-26
dc.identifier.urihttps://hdl.handle.net/2027.42/174131en
dc.description.abstractBackground: Mobile health (mHealth) intervention can help sedentary adults increase physical activity. Specifically, having positive affective valuation (i.e., enjoyment towards walking) towards physical activity can have the potential for building an active lifestyle. Objective: This study aims to evaluate and optimize each of the three affective valuation intervention components, deployed as a part of an mHealth intervention, for their ability to positively influence people’s affective attitudes towards and affective associations with walking. Design: The study is a 6-week full factorial experiment with 3 factors (i.e., for a total of 8 conditions) with an embedded micro-randomized trial. Participants: Forty sedentary adults over 18 years old who have neutral to negative affect towards physical activity. Intervention: The study will assess three intervention components: 1) Sending messages for conditioning positive affect to the thought of walking, 2) sending messages to increase salience of positive aspects of walking, and 3) planning for enjoyable experience on future walks. Conclusion: The study will provide insights on decisions regarding the optimization of each of the intervention components to help sedentary adults positively revise their expectation that walking will be an enjoyable and a fulfilling experience.en_US
dc.language.isoen_USen_US
dc.subjectmobile health interventionen_US
dc.subjectphysical activityen_US
dc.subjectmicro-randomizationen_US
dc.subjectaffective valuationen_US
dc.subjectUMSI Master's Thesisen_US
dc.subjectMTOPen_US
dc.titleImproving affective valuations of physical activity with mobile technology: A protocol for a hybrid factorial/micro-randomized trialen_US
dc.typeThesisen_US
dc.description.thesisdegreenameMaster of Science in Information (MSI)en_US
dc.description.thesisdegreedisciplineSchool of Informationen_US
dc.description.thesisdegreegrantorUniversity of Michiganen_US
dc.subject.hlbsecondlevelInformation Science
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.uniqnameSOOJCen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/174131/3/Choi_MastersThesis_Improving affective valuations of physical activity with mobile technology_ A protocol for a hybrid factorial_micro-randomized trial_DeepBlue2.pdfen
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/174131/4/Choi_MastersThesis_Improving affective valuations of physical activity with mobile technology_ A protocol for a hybrid factorial_micro-randomized trial_DeepBlue.pdfen
dc.identifier.doihttps://dx.doi.org/10.7302/5862
dc.identifier.orcid0000-0003-1013-9391en_US
dc.description.depositorSELFen_US
dc.identifier.name-orcidChoi, Soo Ji; 0000-0003-1013-9391en_US
dc.working.doi10.7302/5862en_US
dc.owningcollnameInformation, School of (SI)


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