Exploring Complex Mobile Life through Lightweight Visualizations

Abstract

Smart phones can be used to collect various types of data from a user spanning call and text message logs to GPS coordinates, and to Bluetooth detection. These data are indicative of behavior across various socio-temporalspatial contexts. For the purpose of inspecting the expected and discovering the unexpected from the data, we developed lightweight visualizations with a low cost. The interactive visualizations are customized with each data analysis task and evolved to support emerging diminutive inquiries during the inspection with themselves. By employing this analytic method at the early phase of data-related research projects, the insights can form a ground for subsequent product development activities focusing on engineering, design and market research.