Fit or fail? Examining the impact of quantified self health and fitness tracking technologies and data collection on college youth
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As consumers increasingly integrate Quantified Self (QS) health and fitness tracking devices into their lives, the data they amass offer to not only help users live healthier lives, but also present opportunities for third parties to target them based on their health and fitness-related behaviors. The current survey-based study, utilizing a theoretical foundation of social cognitive theory (SCT) and technology acceptance model (TAM), examines perceptions about the role of self-efficacy along with the expected outcomes of improved health and fitness, convenient information seeking, personal status, gamification and monetary incentives; in tandem with concerns about cognitive overload, information privacy, device accuracy, perceived ease of use, and perceived usefulness to predict QS health and fitness tracking device use. Findings from a nested structural equation model analysis suggest this integrated theoretical approach offers helpful insights to scholars and practitioners seeking to better understand the potential benefits and barriers presented by QS health and fitness devices.