SelfGuard: semi-automated activity tracking for enhancing self-protection against the COVID-19 pandemic: poster abstract.

Contagious diseases like COVID-19 spread periodically and threaten our lives Self-protection, such as washing hands, wearing a mask, and staying home, are simple and practical solutions to safeguard against these diseases Most governments and health departments recommend that people maintain self-protection Although continuous self-protection effectively prevents the spread of infection, only the intent to self-protect is unsustainable in the long term In this study, we design, develop, and deploy an application to track users' daily activities semi-automatically and enhance self-protection behavior using mobile sensing and gamified feedback techniques Currently, more than 324 people have installed the app via AppStore, and 52 users have shared their activity data to our research group © 2020 Owner/Author