Health effects attributed to air pollution, especially ambient fine particulate matter (PM2.5), become a global issue. The central environment monitoring networks provide limited spatial coverage and no contextual information. However, there is no solution to take contextual information, such as environmental and user behavioral factors, into account, which is highly associated to the variability of air quality level and the complex relationship between air quality and human activities. In this paper, we design, implement, and evaluate a new context-sensing device for personal air quality monitoring, namely AirSense. AirSense is a portable and cost-effective platform, which is equipped with a dust sensor, a global position system (GPS) sensor, a temperature and humidity sensor, and an accelerometer sensor. The development of such a user-centered and geographicalinformation integrated platform enables us to collect finegrained air quality along with contextual information. We evalu...