Long-term Compliance Habits: What Early Data Tells Us

April 11, 2018 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Louis Faust, Priscilla JimΓ©nez, David Hachen, Omar Lizardo, Aaron Striegel, Nitesh V. Chawla arXiv ID 1804.04256 Category cs.HC: Human-Computer Interaction Citations 0 Venue arXiv.org Last Checked 5 months ago
Abstract
The rise in popularity of physical activity trackers provides extensive opportunities for research on personal health, however, barriers such as compliance attrition can lead to substantial losses in data. As such, insights into student's compliance habits could support researcher's decisions when designing long-term studies. In this paper, we examined 392 students on a college campus currently two and a half years into an ongoing study. We find that compliance data from as early as one month correlated with student's likelihood of dropping out of the study (p < .001) and compliance long-term (p < .001). The findings in this paper identify long-term compliance habits and the viability of their early detection.
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