IATK: an Immersive Analytics Toolkit

Maxime Cordeil, Andrew Cunningham, Benjamin Bach, Christophe Hurter, Bruce H. Thomas, Kimbal Marriott, Tim Dwyer

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

72 Citations (Scopus)

Abstract

We introduce IATK, the Immersive Analytics Toolkit, a software package for Unity that allows interactive authoring and exploration of data visualisation in immersive environments. The design of IATK was informed by interdisciplinary expert-collaborations as well as visual analytics applications and iterative refinement over several years. IATK allows for easy assembly of visualisations through a grammar of graphics that a user can configure in a GUI-in addition to a dedicated visualisation API that supports the creation of novel immersive visualisation designs and interactions. IATK is designed with scalability in mind, allowing visualisation and fluid responsive interactions in the order of several million points at a usable frame rate. This paper outlines our design requirements, IATK's framework design and technical features, its user interface, as well as application examples.

Original languageEnglish
Title of host publication26th IEEE Conference on Virtual Reality and 3D User Interfaces - Proceedings
EditorsRob Teather, Yuta Itoh, Joe Gabbard, Ferran Argelaguet, Anne-Hélène Olivier, Dan Keefe
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages200-209
Number of pages10
ISBN (Electronic)9781728113777
ISBN (Print)9781728113784
DOIs
Publication statusPublished - 2019
EventIEEE Conference on Virtual Reality and 3D User Interfaces 2019 - Osaka, Japan
Duration: 23 Mar 201927 Mar 2019
Conference number: 26th
http://ieeevr.org/2019/
https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/conhome/8787730/proceeding (Proceedings)

Conference

ConferenceIEEE Conference on Virtual Reality and 3D User Interfaces 2019
Abbreviated titleVR 2019
Country/TerritoryJapan
CityOsaka
Period23/03/1927/03/19
Internet address

Keywords

  • Centered computing
  • Human
  • Visualisation design and evaluation methods
  • Visualization
  • Visualization techniques

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