Immersive Analytics with Abstract 3D Visualizations : a Survey
Immersive Analytics with Abstract 3D Visualizations : a Survey
Date
2022
Authors
Editors
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
URI (citable link)
DOI (citable link)
International patent number
Link to the license
EU project number
Project
Open Access publication
Collections
Title in another language
Publication type
Journal article
Publication status
Published
Published in
Computer Graphics Forum ; 41 (2022), 1. - pp. 201-229. - Wiley-Blackwell. - ISSN 0167-7055. - eISSN 1467-8659
Abstract
After a long period of scepticism, more and more publications describe basic research but also practical approaches to howabstract data can be presented in immersive environments for effective and efficient data understanding. Central aspects of thisimportant research question in immersive analytics research are concerned with the use of 3D for visualization, the embeddingin the immersive space, the combination with spatial data, suitable interaction paradigms and the evaluation of use cases.We provide a characterization that facilitates the comparison and categorization of published works and present a survey ofpublications that gives an overview of the state of the art, current trends, and gaps and challenges in current research.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
augmented reality, immersion, virtual reality, visual analytics, visualization
Conference
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690
KRAUS, Matthias, Johannes FUCHS, Björn SOMMER, Karsten KLEIN, Ulrich ENGELKE, Daniel A. KEIM, Falk SCHREIBER, 2022. Immersive Analytics with Abstract 3D Visualizations : a Survey. In: Computer Graphics Forum. Wiley-Blackwell. 41(1), pp. 201-229. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.14430BibTex
@article{Kraus2022-02Immer-55895, year={2022}, doi={10.1111/cgf.14430}, title={Immersive Analytics with Abstract 3D Visualizations : a Survey}, number={1}, volume={41}, issn={0167-7055}, journal={Computer Graphics Forum}, pages={201--229}, author={Kraus, Matthias and Fuchs, Johannes and Sommer, Björn and Klein, Karsten and Engelke, Ulrich and Keim, Daniel A. and Schreiber, Falk} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/55895"> <dcterms:title>Immersive Analytics with Abstract 3D Visualizations : a Survey</dcterms:title> <dc:rights>Attribution 4.0 International</dc:rights> <dc:creator>Klein, Karsten</dc:creator> <dcterms:issued>2022-02</dcterms:issued> <dc:creator>Keim, Daniel A.</dc:creator> <dc:contributor>Fuchs, Johannes</dc:contributor> <dc:creator>Sommer, Björn</dc:creator> <dc:contributor>Kraus, Matthias</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/55895/1/Kraus_2-uwc0y0ju32329.pdf"/> <dc:contributor>Engelke, Ulrich</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-12-15T09:24:38Z</dc:date> <dc:creator>Kraus, Matthias</dc:creator> <dc:language>eng</dc:language> <dc:creator>Schreiber, Falk</dc:creator> <dc:creator>Fuchs, Johannes</dc:creator> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:creator>Engelke, Ulrich</dc:creator> <dc:contributor>Sommer, Björn</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-12-15T09:24:38Z</dcterms:available> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/55895/1/Kraus_2-uwc0y0ju32329.pdf"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:abstract xml:lang="eng">After a long period of scepticism, more and more publications describe basic research but also practical approaches to howabstract data can be presented in immersive environments for effective and efficient data understanding. Central aspects of thisimportant research question in immersive analytics research are concerned with the use of 3D for visualization, the embeddingin the immersive space, the combination with spatial data, suitable interaction paradigms and the evaluation of use cases.We provide a characterization that facilitates the comparison and categorization of published works and present a survey ofpublications that gives an overview of the state of the art, current trends, and gaps and challenges in current research.</dcterms:abstract> <dc:contributor>Klein, Karsten</dc:contributor> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/55895"/> <dc:contributor>Schreiber, Falk</dc:contributor> </rdf:Description> </rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
Yes
Refereed
Yes