Book Sections Year : 2018

Immersive Analytics: An Introduction

Abstract

Immersive Analytics is a new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. Here we clarify the aims of immersive analytics research, its opportunities and historical context, as well as providing a broad research agenda for the field. In addition, we review how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research.

Domains

Computer science
Fichier principal
Vignette du fichier
Dwyer_2018_IAI.pdf (4.4 Mo) Télécharger le fichier
Vignette du fichier
Dwyer_2018_IAI_350.jpg (32.44 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Format Figure, Image

Tobias Isenberg  : Connect in order to contact the contributor

https://inria.hal.science/hal-01907533

Submitted on : Monday, October 29, 2018-11:18:46 AM

Last modification on : Friday, December 6, 2024-2:22:03 PM

Long-term archiving on : Wednesday, January 30, 2019-2:38:00 PM

Download

Dates and versions

hal-01907533 , version 1 (29-10-2018)

Licence

Attribution

Identifiers

Cite

Tim Dwyer, Kim Marriott, Tobias Isenberg, Karsten Klein, Nathalie Riche, et al.. Immersive Analytics: An Introduction. Immersive Analytics, Springer, pp.1 - 23, 2018, ⟨10.1007/978-3-030-01388-2_1⟩. ⟨hal-01907533⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

INRIA INRIA2 UNIV-PARIS-SACLAY LISN GS-ENGINEERING GS-COMPUTER-SCIENCE LISN-AVIZ
250 View
1759 Download

Altmetric

Share

More