Immersive Analytics: Theory and Research Agenda

Advances in a variety of computing fields, including "big data," machine learning, visualization, and augmented/mixed/virtual reality, have combined to give rise to the emerging field of , which investigates how these new technologies support analysis and decision making. Thus far, we feel...

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Published in:Frontiers in robotics and AI Vol. 6; p. 82
Main Authors: Skarbez, Richard, Polys, Nicholas F, Ogle, J Todd, North, Chris, Bowman, Doug A
Format: Journal Article
Language:English
Published: Switzerland Frontiers Media S.A 10-09-2019
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Summary:Advances in a variety of computing fields, including "big data," machine learning, visualization, and augmented/mixed/virtual reality, have combined to give rise to the emerging field of , which investigates how these new technologies support analysis and decision making. Thus far, we feel that immersive analytics research has been somewhat , possibly owing to the fact that there is not yet an organizing framework for immersive analytics research. In this paper, we address this lack by proposing a definition for immersive analytics and identifying some general research areas and specific research questions that will be important for the development of this field. We also present three case studies that, while all being examples of what we would consider immersive analytics, present different challenges, and opportunities. These serve to demonstrate the breadth of immersive analytics and illustrate how the framework proposed in this paper applies to practical research.
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Edited by: Mark Billinghurst, University of South Australia, Australia
This article was submitted to Virtual Environments, a section of the journal Frontiers in Robotics and AI
Reviewed by: Bruce Hunter Thomas, University of South Australia, Australia; Victoria Interrante, University of Minnesota Twin Cities, United States; Carlos Andújar, Universitat Politecnica de Catalunya, Spain
Present address: Richard Skarbez, Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia
ISSN:2296-9144
2296-9144
DOI:10.3389/frobt.2019.00082