Data Ecosystem in Self-Tracking Health and Wellness Apps

摘要

To understand information behavior associated with self-tracking and to facilitate exploration of various issues associated with quantified-self data, such as data quality and data sharing, to name a few, we logged the data in self-tracking health and wellness apps. Specifically, we selected 10 of the most popular health and wellness self-tracking apps for both iOS and Android platforms, used these apps for a period of time, and logged data input into, generated by and exported out of the apps. The data were then grouped into categories and mapped to form a data ecosystem that can be queried to reveal latent research opportunities.