Grand Challenges in Immersive Analytics


Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and human-computer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics.

Barrett Ens
Monash University, Melbourne, Australia
Benjamin Bach
Edinburgh University, Edinburgh, United Kingdom
Maxime Cordeil
Monash University, Melbourne, Australia
Ulrich Engelke
CSIRO, Kensington, WA, Australia
Marcos Serrano
IRIT - Elipse, Toulouse, France
Wesley Willett
University of Calgary, Calgary, Alberta, Canada
Arnaud Prouzeau
Monash University, Melbourne, Australia
Christoph Anthes
University of Applied Sciences Upper Austria, Hagenberg, Austria
Wolfgang Büschel
Technische Universität Dresden, Dresden, Germany
Cody Dunne
Northeastern University, Boston, Massachusetts, United States
Tim Dwyer
Monash University, Melbourne, Australia
Jens Grubert
Coburg University, Coburg, Bavaria, Germany
Jason Haga
AIST, Tsukuba, Ibaraki, Japan
Nurit Kirshenbaum
University of Hawaii at Manoa, Honolulu, Hawaii, United States
Dylan Kobayashi
University of Hawaiʻi at Mānoa, Honolulu, Hawaii, United States
Tica Lin
Harvard University, Cambridge, Massachusetts, United States
Monsurat Olaosebikan
Tufts University, Medford, Massachusetts, United States
Fabian Pointecker
University of Applied Sciences Upper Austria, Hagenberg, Austria
David Saffo
Northeastern University, Boston, Massachusetts, United States
Nazmus Saquib
MIT, Cambridge, Massachusetts, United States
Dieter Schmalstieg
Graz University of Technology, Graz, Austria
Danielle Albers. Szafir
University of Colorado Boulder, Boulder, Colorado, United States
Matt Whitlock
University of Colorado, Boulder, Colorado, United States
Yalong Yang
Harvard University, Cambridge, Massachusetts, United States




会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (

セッション: Novel Visualization Techniques

[A] Paper Room 09, 2021-05-11 17:00:00~2021-05-11 19:00:00 / [B] Paper Room 09, 2021-05-12 01:00:00~2021-05-12 03:00:00 / [C] Paper Room 09, 2021-05-12 09:00:00~2021-05-12 11:00:00
Paper Room 09
15 件の発表
2021-05-11 17:00:00
2021-05-11 19:00:00