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publication name Situated Analytics
Authors Neven ElSayed; Bruce Thomas; Kim Marriott; Julia Piantadosi, ; Ross Smith
year 2016
keywords Augmented Reality, Information visualization, Situated Analytics, Visual Analytics, Visualization, Shopping application
journal Journal of Visual Languages and Computing
volume Not Available
issue Not Available
pages Not Available
publisher Not Available
Local/International International
Paper Link Not Available
Full paper download
Supplementary materials Not Available
Abstract

This paper introduces the use of Augmented Reality as an immersive analytical tool in the physical world. We present Situated Analytics, a novel combination of real-time interaction and visualization techniques that allows exploration and analysis of information about objects in the user's physical environment. Situated Analytics presents both situated and abstract summary and contextual information to a user. We conducted a user study to evaluate its use in three shopping analytics tasks, comparing the use of a Situated Analytics prototype with manual analysis. The results showed that users preferred the Situated Analytics prototype over the manual method, and that tasks were performed more quickly and accurately using the prototype.

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