Survey of Immersive Analytics

Immersive analytics (IA) is a new term referring to the use of immersive technologies for data analysis. Yet such applications are not new, and numerous contributions have been made in the last three decades. However, no survey reviewing all these contributions is available. Here we propose a survey...

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Published inIEEE transactions on visualization and computer graphics Vol. 27; no. 3; pp. 2101 - 2122
Main Authors Fonnet, Adrien, Prie, Yannick
Format Journal Article
LanguageEnglish
Published United States IEEE 01.03.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects
Best practice
Computer Science
Data analysis
Data mining
Data visualization
Graphics
Human-Computer Interaction
Immersive analytics
immersive environments
information visualization
Rendering (computer graphics)
scientific visualization
survey
Systems analysis
Task analysis
Three-dimensional displays
virtual environments
visual data mining
Visualization
Online AccessGet full text
ISSN1077-2626
1941-0506
1941-0506
DOI10.1109/TVCG.2019.2929033

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Abstract Immersive analytics (IA) is a new term referring to the use of immersive technologies for data analysis. Yet such applications are not new, and numerous contributions have been made in the last three decades. However, no survey reviewing all these contributions is available. Here we propose a survey of IA from the early nineties until the present day, describing how rendering technologies, data, sensory mapping, and interaction means have been used to build IA systems, as well as how these systems have been evaluated. The conclusions that emerge from our analysis are that: multi-sensory aspects of IA are under-exploited, the 3DUI and VR community knowledge regarding immersive interaction is not sufficiently utilised, the IA community should focus on converging towards best practices, as well as aim for real life IA systems.
AbstractList Immersive analytics (IA) is a new term referring to the use of immersive technologies for data analysis. Yet such applications are not new, and numerous contributions have been made in the last three decades. However, no survey reviewing all these contributions is available. Here we propose a survey of IA from the early nineties until the present day, describing how rendering technologies, data, sensory mapping, and interaction means have been used to build IA systems, as well as how these systems have been evaluated. The conclusions that emerge from our analysis are that: multi-sensory aspects of IA are under-exploited, the 3DUI and VR community knowledge regarding immersive interaction is not sufficiently utilised, the IA community should focus on converging towards best practices, as well as aim for real life IA systems.
Immersive analytics (IA) is a new term referring to the use of immersive technologies for data analysis. Yet such applications are not new, and numerous contributions have been made in the last three decades. However, no survey reviewing all these contributions is available. Here we propose a survey of IA from the early nineties until the present day, describing how rendering technologies, data, sensory mapping, and interaction means have been used to build IA systems, as well as how these systems have been evaluated. The conclusions that emerge from our analysis are that: multi-sensory aspects of IA are under-exploited, the 3DUI and VR community knowledge regarding immersive interaction is not sufficiently utilised, the IA community should focus on converging towards best practices, as well as aim for real life IA systems.Immersive analytics (IA) is a new term referring to the use of immersive technologies for data analysis. Yet such applications are not new, and numerous contributions have been made in the last three decades. However, no survey reviewing all these contributions is available. Here we propose a survey of IA from the early nineties until the present day, describing how rendering technologies, data, sensory mapping, and interaction means have been used to build IA systems, as well as how these systems have been evaluated. The conclusions that emerge from our analysis are that: multi-sensory aspects of IA are under-exploited, the 3DUI and VR community knowledge regarding immersive interaction is not sufficiently utilised, the IA community should focus on converging towards best practices, as well as aim for real life IA systems.
Author Fonnet, Adrien
Prie, Yannick
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  fullname: Prie, Yannick
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  organization: LS2N UMR6004 CNRS Univ. of Nantes, Nantes, Loire-Atlantique, France
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Snippet Immersive analytics (IA) is a new term referring to the use of immersive technologies for data analysis. Yet such applications are not new, and numerous...
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SubjectTerms Best practice
Computer Science
Data analysis
Data mining
Data visualization
Graphics
Human-Computer Interaction
Immersive analytics
immersive environments
information visualization
Rendering (computer graphics)
scientific visualization
survey
Systems analysis
Task analysis
Three-dimensional displays
virtual environments
visual data mining
Visualization
Title Survey of Immersive Analytics
URI https://ieeexplore.ieee.org/document/8770302
https://www.ncbi.nlm.nih.gov/pubmed/31352344
https://www.proquest.com/docview/2483262539
https://www.proquest.com/docview/2266336207
https://hal.science/hal-02193971
Volume 27
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