Survey of Immersive Analytics

• Published in: IEEE transactions on visualization and computer graphics Vol. 27; no. 3; pp. 2101 - 2122
• Main Authors: Fonnet, Adrien, Prie, Yannick
• Format: Journal Article
• Language: English
• 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
• ISSN: 1077-2626; 1941-0506; 1941-0506
• DOI: 10.1109/TVCG.2019.2929033

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.