Google Health 数字福祉研究的研究方案
Research Protocol for the Google Health Digital Well-being Study
Daniel McDuff, Andrew Barakat, Ari Winbush, Allen Jiang, Felicia Cordeiro, Ryann Crowley, Lauren E. Kahn, John Hernandez 等 9 位作者
AI 速览：本文提出一项数字福祉（DWB）研究方案，旨在以更大、更具代表性的样本和更好的核心构念测量，回答数字设备使用如何影响健康与福祉。
The impact of digital device use on health and well-being is a pressing question to which individuals, families, schools, policy makers, legislators, and digital designers are all demanding answers. However, the scientific literature on this topic to date is marred by small and/or unrepresentative samples, poor measurement of core constructs (e.g., device use, smartphone addiction), and a limited ability to address the psychological and behavioral mechanisms that may underlie the relationships between device use and well-being. A number of recent authoritative reviews have made urgent calls for future research projects to address these limitations. The critical role of research is to identify which patterns of use are associated with benefits versus risks, and who is more vulnerable to harmful versus beneficial outcomes, so that we can pursue evidence-based product design, education, and regulation aimed at maximizing benefits and minimizing risks of smartphones and other digital devices. We describe a protocol for a Digital Well-Being (DWB) study to help answer these questions.