Staff Members - Benha University
Situated Analytics
Journal of Visual Languages and Computing • 2016
Publication Information
Authors
Neven ElSayed; Bruce Thomas; Kim Marriott; Julia Piantadosi,
; Ross Smith
Keywords
Augmented Reality, Information visualization, Situated Analytics, Visual Analytics, Visualization, Shopping application
Journal
Journal of Visual Languages and Computing
Publisher
Not Available
Volume
Not Available
Issue
Not Available
Pages
Not Available
publication.type
International
Paper Link
Not Available
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.
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.