The Effectiveness of Fitness Wearable Technologies: Applying Big-Data Techniques to Analyze User Experience and Perception

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dc.contributor.authorSharma, Arpit
dc.contributor.authorJoshi, Deepti
dc.contributor.authorMoney, William
dc.contributor.authorMcwilliams, Denise
dc.date.accessioned2023-12-26T18:36:28Z
dc.date.available2023-12-26T18:36:28Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2023.102
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherfdb8b6fb-f1db-44db-b286-697db5b71f35
dc.identifier.urihttps://hdl.handle.net/10125/106479
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.subjectBig Data and Analytics: Pathways to Maturity
dc.subjectaccomplishment
dc.subjecthealth
dc.subjectsocial
dc.subjecttwitter
dc.subjectwearables
dc.titleThe Effectiveness of Fitness Wearable Technologies: Applying Big-Data Techniques to Analyze User Experience and Perception
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractFitness Wearable Technologies (FWT) have been analyzed as input devices for various user outcomes. However, user motives behind device usage have not been assessed from a longitudinal or stability perspective, nor have they been compared across different devices. FWT usage is frequently assumed and analyzed from the usage (act of wearing) of the device. This paper examines user motivations by analyzing user perceptions across three themes: Accomplishment (fitness goals), Health (chronic), and Social (connections with peers), espoused by wearers. The analysis is based upon Twitter theme data drawn in the samples from the spring quarter of ‘Pre, During, and Post’ “Covid” years (2019–2022). The findings reveal features of FWTs that motivate users and that users continue to embrace the use of FWTs for medical advantages and social and personal development. Additionally, sentiment analysis of the tweets across devices over the study period reveals an increase in the positive sentiment.
dcterms.extent10 pages
prism.startingpage834

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