Utilizing the Fediverse and AI-bots for Youth Engagement During COVID-19 in a Hybrid Preventative Intervention

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dc.contributor.authorCole, Mason
dc.contributor.authorGary, Kevin
dc.contributor.authorMeier, Matt
dc.contributor.authorGonzales, Nancy
dc.contributor.authorPina, Armando
dc.contributor.authorStoll, Ryan
dc.date.accessioned2023-12-26T18:42:18Z
dc.date.available2023-12-26T18:42:18Z
dc.date.issued2024-01-03
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other218f5cdf-4667-42c6-958d-01f253b4e5fd
dc.identifier.urihttps://hdl.handle.net/10125/106848
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSocia Media and Healthcare Technology
dc.subjectchatbot
dc.subjectcovid-19
dc.subjectehealth
dc.subjectfediverse
dc.subjectpreventative intervention
dc.titleUtilizing the Fediverse and AI-bots for Youth Engagement During COVID-19 in a Hybrid Preventative Intervention
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractSocial media is a pervasive platform for delivering targeted interventions, albeit with cautionary ethical consequences. Recently AI robots or “bots” have been combined with social media platforms to enhance interaction, and enact behavior change through increased engagement and adherence to intervention protocols. This paper presents a customized social media platform for promoting engagement and adherence to a prevention intervention protocol. The protocol was originally developed in a group workshop format, and then online during COVID-19. A social media platform was utilized to connect group participants and deliver protocol activities. Bots encouraged participation via positive reinforcement mechanism for the entire group, and to remind a participant of protocol activities. While not a formal study, our exploratory results demonstrate that bots and a social media context support a group leader in increased engagement and adherence to the protocol. Our principal contribution in this paper is demonstrating that a personalized, adaptive instance of a Control Systems Engineering model may improve engagement-related outcomes in brief protocols.
dcterms.extent10 pages
prism.startingpage3857

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