Just 5 questions: toward a design framework for immersive analytics

Kim Marriott, Jian Chen, Marcel Hlawatsch, Takayuki Itoh, Miguel A. Nacenta, Guido Reina, Wolfgang Stuerzlinger

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

1 Citation (Scopus)

Abstract

We present an initial design framework for immersive analytics based on Brehmer and Munzner’s “What-Why-How” data visualisation framework. We extend their framework to take into account Who are the people or teams of people who are going to use the system, and Where is the system to be used and what are the available devices and technology. In addition, the How component is extended to cater for collaboration, multisensory presentation, interaction with an underlying computational model, degree of fidelity and organisation of the workspace around the user. By doing so we provide a framework for understanding immersive analytics research and applications as well as clarifying how immersive analytics differs from traditional data visualisation and visual analytics.

Original languageEnglish
Title of host publicationImmersive Analytics
EditorsKim Marriott, Falk Schreiber, Tim Dwyer, Karsten Klein, Nathalie Henry Riche, Takayuki Itoh, Wolfgang Stuerzlinger, Bruce H. Thomas
Place of PublicationCham Switzerland
PublisherSpringer
Chapter9
Pages259-288
Number of pages30
ISBN (Electronic)9783030013882
ISBN (Print)9783030013875
DOIs
Publication statusPublished - 2018

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11190
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Data visualisation
  • Design framework
  • Immersive Analytics
  • Information visualisation
  • Visual analytics

Cite this

Marriott, K., Chen, J., Hlawatsch, M., Itoh, T., Nacenta, M. A., Reina, G., & Stuerzlinger, W. (2018). Just 5 questions: toward a design framework for immersive analytics. In K. Marriott, F. Schreiber, T. Dwyer, K. Klein, N. Henry Riche, T. Itoh, W. Stuerzlinger, & B. H. Thomas (Eds.), Immersive Analytics (pp. 259-288). (Lecture Notes in Computer Science ; Vol. 11190 ). Springer. https://doi.org/10.1007/978-3-030-01388-2_9