@Article{info:doi/10.2196/23461,
author="Ibrahim, Ahmed
and Zhang, Heng
and Clinch, Sarah
and Poliakoff, Ellen
and Parsia, Bijan
and Harper, Simon",
title="Digital Phenotypes for Understanding Individuals' Compliance With COVID-19 Policies and Personalized Nudges: Longitudinal Observational Study",
journal="JMIR Form Res",
year="2021",
month="May",
day="27",
volume="5",
number="5",
pages="e23461",
keywords="behavior; compliance; COVID-19; digital phenotyping; nudges; personalization; policy; sensor; smartphone",
abstract="Background: Governments promote behavioral policies such as social distancing and phased reopening to control the spread of COVID-19. Digital phenotyping helps promote the compliance with these policies through the personalized behavioral knowledge it produces. Objective: This study investigated the value of smartphone-derived digital phenotypes in (1) analyzing individuals' compliance with COVID-19 policies through behavioral responses and (2) suggesting ways to personalize communication through those policies. Methods: We conducted longitudinal experiments that started before the outbreak of COVID-19 and continued during the pandemic. A total of 16 participants were recruited before the pandemic, and a smartphone sensing app was installed for each of them. We then assessed individual compliance with COVID-19 policies and their impact on habitual behaviors. Results: Our results show a significant change in people's mobility (P<.001) as a result of COVID-19 regulations, from an average of 10 visited places every week to approximately 2 places a week. We also discussed our results within the context of nudges used by the National Health Service in the United Kingdom to promote COVID-19 regulations. Conclusions: Our findings show that digital phenotyping has substantial value in understanding people's behavior during a pandemic. Behavioral features extracted from digital phenotypes can facilitate the personalization of and compliance with behavioral policies. A rule-based messaging system can be implemented to deliver nudges on the basis of digital phenotyping. ",
issn="2561-326X",
doi="10.2196/23461",
url="https://formative.jmir.org/2021/5/e23461",
url="https://doi.org/10.2196/23461",
url="http://www.ncbi.nlm.nih.gov/pubmed/33999832"
}