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Immersive Analytics [[electronic resource] /] / edited by Kim Marriott, Falk Schreiber, Tim Dwyer, Karsten Klein, Nathalie Henry Riche, Takayuki Itoh, Wolfgang Stuerzlinger, Bruce H. Thomas



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Titolo: Immersive Analytics [[electronic resource] /] / edited by Kim Marriott, Falk Schreiber, Tim Dwyer, Karsten Klein, Nathalie Henry Riche, Takayuki Itoh, Wolfgang Stuerzlinger, Bruce H. Thomas Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XIII, 357 p. 98 illus.)
Disciplina: 001.4226
Soggetto topico: Database management
Optical data processing
Computer graphics
User interfaces (Computer systems)
Application software
Database Management
Image Processing and Computer Vision
Computer Graphics
User Interfaces and Human Computer Interaction
Information Systems Applications (incl. Internet)
Persona (resp. second.): MarriottKim
SchreiberFalk
DwyerTim
KleinKarsten
RicheNathalie Henry
ItohTakayuki
StuerzlingerWolfgang
ThomasBruce H
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Immersive Analytics: An Introduction -- Immersive Analytics: Time to Reconsider the Value of 3D for Information Visualization -- Multisensory Immersive Analytics -- Interaction for Immersive Analytics -- Immersive Human-Centered Computational Analytics -- Immersive Visual Data Stories -- Situated Analytics -- Collaborative Immersive Analytics.
Sommario/riassunto: 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 the aims of immersive analytics research are clarified, its opportunities and historical context, as well as providing a broad research agenda for the field. In addition, it is reviewed how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research. .
Titolo autorizzato: Immersive Analytics  Visualizza cluster
ISBN: 3-030-01388-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466446503316
Lo trovi qui: Univ. di Salerno
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Serie: Information Systems and Applications, incl. Internet/Web, and HCI ; ; 11190