Maxime Cordeil
Monash University
48 Papers
224 Citations
Maxime Cordeil is an academic researcher from Monash University. The author has contributed to research in topics: Computer science & Virtual reality. The author has an hindex of 16, co-authored 48 publications. Previous affiliations of Maxime Cordeil include École nationale de l'aviation civile & University of Toulouse.
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Papers
ImAxes: Immersive Axes as Embodied Affordances for Interactive Multivariate Data Visualisation
Maxime Cordeil,Andrew Cunningham,Tim Dwyer,Bruce H. Thomas,Kim Marriott +4 more
- 20 Oct 2017
TL;DR: ImAxes immersive system for exploring multivariate data using fluid, modeless interaction and straight-forward composability leads to a number of emergent visualisations and interactions, which are reviewed and demonstrated with a detailed multivariateData analysis use case.
238
Immersive analytics
Ulrich Engelke,Maxime Cordeil,Andrew Cunningham,Barrett Ens +3 more
- 17 Nov 2019
TL;DR: Welcome and Overview Visualisation and Visual Analytics Introduction to Immersive Analytics Computing Beyond the Desktop Collaboration.
217
Immersive Collaborative Analysis of Network Connectivity: CAVE-style or Head-Mounted Display?
TL;DR: Significant differences are found between the two conditions in task completion time and the physical movements of the participants within the space: participants using the HMD were faster while the CAVE2 condition introduced an asymmetry in movement between collaborators.
203
Grand Challenges in Immersive Analytics
Barrett Ens,Benjamin Bach,Maxime Cordeil,Ulrich Engelke,Marcos Serrano,Wesley Willett,Arnaud Prouzeau,Christoph Anthes,Wolfgang Büschel,Cody Dunne,Tim Dwyer,Jens Grubert,Jason H. Haga,Nurit Kirshenbaum,Dylan Kobayashi,Tica Lin,Monsurat Olaosebikan,Fabian Pointecker,David Saffo,Nazmus Saquib,Dieter Schmalstieg,Danielle Albers Szafir,Matt Whitlock,Yalong Yang +23 more
- 06 May 2021
TL;DR: In this article, the authors 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, aiming to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for immersive analytics.
DXR: A Toolkit for Building Immersive Data Visualizations
Ronell Sicat,Jiabao Li,Junyoung Choi,Maxime Cordeil,Won-Ki Jeong,Benjamin Bach,Hanspeter Pfister +6 more
TL;DR: DXR, a toolkit for building immersive data visualizations based on the Unity development platform, is presented, which can efficiently specify visualization designs using a concise declarative visualization grammar inspired by Vega-Lite.