Publikation:

The Value of Immersive Visualization

Lade...
Vorschaubild

Dateien

Kraus_2-vfackzngnhry1.pdf
Kraus_2-vfackzngnhry1.pdfGröße: 1.94 MBDownloads: 1224

Datum

2021

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

IEEE computer graphics and applications. IEEE Computer Society. 2021, 41(4), pp. 125-132. ISSN 0272-1716. eISSN 1558-1756. Available under: doi: 10.1109/MCG.2021.3075258

Zusammenfassung

In recent years, research on immersive environments has experienced a new wave of interest, and immersive analytics has been established as a new research field. Every year, a vast amount of different techniques, applications, and user studies are published that focus on employing immersive environments for visualizing and analyzing data. Nevertheless, immersive analytics is still a relatively unexplored field that needs more basic research in many aspects and is still viewed with skepticism. Rightly so, because in our opinion, many researchers do not fully exploit the possibilities offered by immersive environments and, on the contrary, sometimes even overestimate the power of immersive visualizations. Although a growing body of papers has demonstrated individual advantages of immersive analytics for specific tasks and problems, the general benefit of using immersive environments for effective analytic tasks remains controversial. In this article, we reflect on when and how immersion may be appropriate for the analysis and present four guiding scenarios. We report on our experiences, discuss the landscape of assessment strategies, and point out the directions where we believe immersive visualizations have the greatest potential.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Data analysis , Data visualization, Tools, Spatial databases, Software, Hardware, Haptic interfaces

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690KRAUS, Matthias, Karsten KLEIN, Johannes FUCHS, Daniel A. KEIM, Falk SCHREIBER, Michael SEDLMAIR, Theresa-Marie RHYNE, 2021. The Value of Immersive Visualization. In: IEEE computer graphics and applications. IEEE Computer Society. 2021, 41(4), pp. 125-132. ISSN 0272-1716. eISSN 1558-1756. Available under: doi: 10.1109/MCG.2021.3075258
BibTex
@article{Kraus2021Value-54364,
  year={2021},
  doi={10.1109/MCG.2021.3075258},
  title={The Value of Immersive Visualization},
  number={4},
  volume={41},
  issn={0272-1716},
  journal={IEEE computer graphics and applications},
  pages={125--132},
  author={Kraus, Matthias and Klein, Karsten and Fuchs, Johannes and Keim, Daniel A. and Schreiber, Falk and Sedlmair, Michael and Rhyne, Theresa-Marie}
}
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/123456789/54364">
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-07-20T14:30:25Z</dcterms:available>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/54364/1/Kraus_2-vfackzngnhry1.pdf"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/54364/1/Kraus_2-vfackzngnhry1.pdf"/>
    <dc:contributor>Klein, Karsten</dc:contributor>
    <dc:creator>Sedlmair, Michael</dc:creator>
    <dc:contributor>Fuchs, Johannes</dc:contributor>
    <dc:rights>terms-of-use</dc:rights>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/54364"/>
    <dc:creator>Klein, Karsten</dc:creator>
    <dcterms:abstract xml:lang="eng">In recent years, research on immersive environments has experienced a new wave of interest, and immersive analytics has been established as a new research field. Every year, a vast amount of different techniques, applications, and user studies are published that focus on employing immersive environments for visualizing and analyzing data. Nevertheless, immersive analytics is still a relatively unexplored field that needs more basic research in many aspects and is still viewed with skepticism. Rightly so, because in our opinion, many researchers do not fully exploit the possibilities offered by immersive environments and, on the contrary, sometimes even overestimate the power of immersive visualizations. Although a growing body of papers has demonstrated individual advantages of immersive analytics for specific tasks and problems, the general benefit of using immersive environments for effective analytic tasks remains controversial. In this article, we reflect on when and how immersion may be appropriate for the analysis and present four guiding scenarios. We report on our experiences, discuss the landscape of assessment strategies, and point out the directions where we believe immersive visualizations have the greatest potential.</dcterms:abstract>
    <dcterms:title>The Value of Immersive Visualization</dcterms:title>
    <dc:creator>Kraus, Matthias</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:contributor>Sedlmair, Michael</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Rhyne, Theresa-Marie</dc:contributor>
    <dc:creator>Rhyne, Theresa-Marie</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-07-20T14:30:25Z</dc:date>
    <dcterms:issued>2021</dcterms:issued>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:contributor>Schreiber, Falk</dc:contributor>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:creator>Fuchs, Johannes</dc:creator>
    <dc:language>eng</dc:language>
    <dc:creator>Schreiber, Falk</dc:creator>
    <dc:contributor>Kraus, Matthias</dc:contributor>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
Diese Publikation teilen