Authors: Tanyoung Kim
Abstract: Among many tracking and sensing applications (app) for smart phones, “Moves” automatically detects location changes and physical activities and enables manual editing of those entries. Harnessing the location data from Moves, we develop a visualization system called “Commute” that specifically focuses on a user’s home and work places. After authorizing Commute to use her own data, the user can see her commuting patterns including departure/arrival times and duration. In addition to the visualization of location points of commutes, our system presents a visual analysis of the user’s behaviors related to home and work places. Commute enables users to explore mined and analyzed data beyond the raw data from the original app and to discover previously unknown parts of their life style.