Situated analytics

Bruce H. Thomas*, Gregory F. Welch, Pierre Dragicevic, Niklas Elmqvist, Pourang Irani, Yvonne Jansen, Dieter Schmalstieg, Aurélien Tabard, Neven A.M. ElSayed, Ross T. Smith, Wesley Willett

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter introduces the concept of situated analytics that employs data representations organized in relation to germane objects, places, and persons for the purpose of understanding, sensemaking, and decision-making. The components of situated analytics are characterized in greater detail, including the users, tasks, data, representations, interactions, and analytical processes involved. Several case studies of projects and products are presented that exemplify situated analytics in action. Based on these case studies, a set of derived design considerations for building situated analytics applications are presented. Finally, there is a an outline of a research agenda of challenges and research questions to explore in the future.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag Heidelberg
Pages185-220
Number of pages36
DOIs
Publication statusPublished - 1 Jan 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11190 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Augmented reality
  • Data visualisation
  • Human-computer interaction
  • Immersion
  • Immersive analytics
  • Situated analytics

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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