Situated analytics: Demonstrating immersive analytical tools with augmented reality

Neven A. M. ElSayed, Bruce H. Thomas, Kim Marriott, Julia Piantadosi, Ross T. Smith

Research output: Contribution to journalArticleResearchpeer-review

37 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)13-23
Number of pages11
JournalJournal of Visual Languages and Computing
Volume36
DOIs
Publication statusPublished - 1 Oct 2016

Keywords

  • Augmented Reality
  • Information visualization
  • Shopping application
  • Situated analytics
  • Visual analytics
  • Visualization

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