Situated Analytics

We consider the question of how Augmented Reality can be used for applications that require interactive analytical reasoning embedded in the physical environment. We present novel interaction and visualization techniques for supporting such reasoning, which we call Situated Analytics. Our approach provides situated and abstract information representation with real-time analytical interaction. Three methods of interaction, filtering, finding and ranking are explored with a diminished reality presentation method are employed to highlight analytical results. We conducted a user study to evaluate user performance with three shopping analytics tasks, comparing the Situated Analytics prototype to manual analysis. The results showed that users preferred the Situated Analytics prototype, compared to manual method, and were performed more quickly and accurately.