4th Workshop on Immersive Analytics: Envisioning Future Productivity for Immersive Analytics // @CHI 2020 Honolulu, April 25/26

Previous IA workshops: 2016 (ACM ISS), 2017 (IEEE VIS), 2019 (ACM CHI)

Immersive technologies have opened many opportunities for communities in HCI, visual analytics, data visualisation, and other related research areas. However, despite an emerging focus on immersive analytics research, there is currently a lack of coherent and broadly applicable visualisation and interaction designs in order to make immersive analytics systems productive and usable in real world scenarios. In this workshop, we aim to identify a road-map towards productive user interfaces for immersive analytics. In particular we aim to understand how we can effectively support specific visualisation and analytics tasks in VR/AR, and identify the interactions needed to support these. Our goal is to catalyse the research community and lead toward a reference paper to inform future research.

Call for papers

Over the last several years, a growing Immersive Analytics research community has produced a number of system prototypes, user studies, use cases, and toolkits that show the potential of immersive technologies to promote human data understanding. It is now time to take a step back to define a broader road map that will help move forward toward truly productive interfaces envisioned by the community at large.

This workshop will aim to identify the key productivity challenges for data-centric, immersive systems. Through a series of engaging, interlinked group activities, participants will identify future challenges, which will be documented as a reference for future collaborations.

We invite the submission of 2-6 page position papers that address key challenges related to productive user interfaces for immersive analytics, for instance:

  • New UI paradigms

  • Adapting existing productivity applications to immersive environments

  • Embodied interaction and multimodal input

  • Collaborative analytics

  • Situated and spatial visualisation and analytics

  • Prototyping tools and techniques for AR/VR

  • Best practices for spatial interaction and prototyping

  • Evaluation methods for immersive systems

  • Social acceptability of interaction with immersive platforms

  • Human factors including awareness, distraction, and cognitive load

  • Multimodal input

  • Users and scenarios

  • Workflows and contexts

Papers should be formatted in the CHI extended abstracts format and submitted via the workshop website. Accepted papers will be chosen based on their potential for contributing to discussions and distributed to participants prior to the workshop. At least one author of each accepted position paper must attend the workshop and must register for both the workshop and for at least one day of the conference. More information is available on the workshop website: http://immersive-analytics.com


The workshop is part of CHI 2020 in Honolulu, Hawaii, USA. See the official CHI website for travel information.

Information about the room will be posted here.

Attendance and Submissions

To attend the workshop, a participant has to

  1. Submit a successful submission (details just below), and

  2. pay the CHI workshop fee (more information soon available through the conference: https://chi2020.acm.org/for-attendees/registration)

Submission Types

We strongly encourage to submit position papers that will contribute to the discussion, and touch on one of the above topics related to productivity. Alternatively we also encourage people to submit other types of submissions, including

  • Demos, prototypes, concepts

  • Visions and scenarios

  • Case studies

  • Surveys and methods

  • etc …


This is a one day workshop (6 working hours) , more information on date/times to come.

Opening comments and host introductions | 15 min

Participant introduction talks (2-3 min each) | 45 min

Situated Analytics Prototyping activity |45 min

Break | TBD

Analysis: Identify Design Considerations |90 min

Lunch |TBD

World Cafe: Define Future Challenges | 90 min

Break | TBD

Group presentations | 45 min

Discussion, Closing, & Wrap-up | 30 min

Accepted submissions


Program Committee

  • Lonni Besançon, Linköpings universiet

  • Wolfgang Büschel, Technische Universität Dresden

  • Steven Drucker, Microsoft Research

  • Karsten Klein, Kontstanz Universität

  • Michael McGuffin, Ecole de technologie supérieure Montreal

  • Emmanuel Pietriga, Inria

  • Yannick Prie, Université de Nantes

  • Arnaud Prouzeau, Monash University

  • Aaron Quigley, University of St. Andrews

  • Wolfgang Stuerzlinger, Simon Frazer University

  • Danielle Albers Szafir, University of Colorado Boulder

  • Aurélien Tabard, Université de Lyon

  • Romain Vuillemot, Ecole Centrale de Lyon

  • Yalong Yang, Harvard University