A visualization tool for reconstructing behavior patterns in built spaces.

We demonstrate how sensor data recorded from a home sensing network can be replayed and explored from a first-person perspective using a novel input device and from a bird's eye perspective using an augmented reality scanner. Data previously recorded from a living lab apartment is reconstructed, revealing patterns of movement and occupancy. A sample use-case is presented wherein the individual's data is mapped onto a new home in order to reveal how existing behavioral patterns might be impeded or facilitated by differences in the built environment.