Literature DB >> 31352344

Survey of Immersive Analytics.

Adrien Fonnet, Yannick Prie.   

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.

Year:  2021        PMID: 31352344     DOI: 10.1109/TVCG.2019.2929033

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  1 in total

1.  Collaborative and individual learning of geography in immersive virtual reality: An effectiveness study.

Authors:  Michal Sedlák; Čeněk Šašinka; Zdeněk Stachoň; Jiří Chmelík; Milan Doležal
Journal:  PLoS One       Date:  2022-10-18       Impact factor: 3.752

  1 in total

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