Situated Analytics: Demonstrating immersive analytical tools with Augmented Reality. (October 2016)

• Record Type: Journal Article
• Authors: ElSayed, Neven A.M.; Thomas, Bruce H.; Marriott, Kim; Piantadosi, Julia; Smith, Ross T.
• Is Part Of: Journal of visual languages & computing. Volume 36(2016)
• Page Start: 13
• Page End: 23
• Publication Date: 2016-10
• Subjects: Augmented Reality -- Information visualization -- Situated Analytics -- Visual Analytics -- Visualization -- Shopping application; Visual programming languages (Computer science) -- Periodicals; Visual programming (Computer science) -- Periodicals; Programming languages (Electronic computers) -- Semantics -- Periodicals; Langages de programmation visuelle -- Périodiques; Programmation visuelle -- Périodiques; Langages de programmation -- Sémantique -- Périodiques; Programming languages (Electronic computers) -- Semantics; Visual programming (Computer science); Visual programming languages (Computer science); Periodicals; Electronic journals; 005
• DOI: 10.1016/j.jvlc.2016.07.006
• Languages: English
• ISSNs: 1045-926X

Abstract

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.