A half-day workshop at ACM CHI 2022
on Wednesday, April 27th from 8 AM to 2 PM (CST)
Immersive Analytics is now a fully emerged research topic that spans several research communities, including Human-Computer Interaction, Data Visualisation, Virtual Reality and Augmented Reality. Immersive Analytics research has been broadly motivated by purported benefits of using embodied, 3D spatial immersive environments for visualisation and exploration of complex data. As of today, most research in Immersive Analytics has focused on exploring novel visualisation techniques in 3D embodied immersive environments. There is a lack of fundamental study in this field that clearly compares immersive versus non immersive platforms for analytics purposes, and firmly delineates the benefits of immersive environments for analytic tasks. It is now time to establish an agenda to assess the benefits and potential of immersive technologies, spatial interfaces, and embodied interaction to support sensemaking, data understanding, and collaborative analytics. This workshop will aim at putting this agenda together, by gathering international experts from Immersive Analytics and related fields to define which studies need to be conducted to assess the effect of embodied interaction on cognition in data analytics.
The workshop on Immersive Analytics 2.0: Spatial and Embodied Sensemaking will take place on Wednesday, April 27th from 8 AM to 2 PM (CST) at CHI 2022. It will focus on the use of immersive technologies, spatial interfaces, and embodied interactions to support (collaborative) sensemaking and data understanding. It will provide a stimulating environment for interactions and discussions with researchers from the field of Immersive Analytics or researchers who want to discover it. Early-career researchers and PhD students are strongly encouraged to participate to broaden their networks and explore new research directions.
Immersive analytics has been a growing field in the last five years, with several workshops organized in various venues (VIS 2018, ISS 2019, CHI 2019, CHI2020). While we understand the potential of the use of immersive technologies for analytics, there are still important research directions to explore in order to understand where Immersive Analytics stands in Visualisation research and to increase its adoption. We believe that directing a concerted focus on the benefits of spatial interfaces and embodied interaction will help us define the new research agenda for this field.
The program will consist of a balanced mix of lightning talks, group discussion and activities around data analytics methods and design considerations regarding the use of immersive technologies. Pre-sessions will be organised remotely to allow participants to join in preparation for the workshop (with repeat sessions to accommodate for time zones) by proposing and defining topics for discussion, which may include:
To apply to the workshop, submit your expression of interest using our online form to answer questions about your background, experience, and interests in potential discussion topics. Participants will be carefully selected to reflect a wide range of varying backgrounds, experience, interests, gender, and world locations.
Barrett Ens
Monash University
@Pair_a_Tens
Barrett Ens
Maxime Cordeil
University of Queensland
@MaximeCordeil
Maxime Cordeil
Chris North
Virginia Tech
Chris North
Tim Dwyer
Monash University
@immersivecola
Tim Dwyer
Lonni Besançon
Monash University
@lonnibesancon
lonnibesancon.me
Arnaud Prouzeau
Inria & LaBRI
@ArnaudProuzeau
aprouzeau.com
Jiazhou Liu
Monash University
@Jiazhou__Liu
Jiazhou Liu
Andrew Cunningham
University of South Australia
Andrew.Cunningham
Adam Drogemuller
University of South Australia
Adam Drogemuller
Kadek Ananta Satriadi
University of South Australia
@KadekASatriadi
kadeksatriadi.com
Bruce H. Thomas
University of South Australia
bruce.thomas
Questions? Contact us at ia2.workshop.2022@gmail.com.