Breaking the Curse of Visual Analytics : Accommodating Virtual Reality in the Visualization Pipeline

Loading...
Thumbnail Image
Date
2020
Editors
Contact
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
ArXiv-ID
International patent number
Link to the license
EU project number
740754
Project
Open Access publication
Restricted until
Title in another language
Research Projects
Organizational Units
Journal Issue
Publication type
Contribution to a conference collection
Publication status
Published
Published in
Computer vision, imaging and computer graphics theory and applications : 14th International Joint Conference, VISIGRAPP 2019 : Revised Selected Papers / Cláudio, Ana Paula; Bouatouch, Kadi; Chessa, Manuela et al. (ed.). - Cham : Springer, 2020. - (Communications in computer and information science ; 1182). - pp. 253-284. - ISSN 1865-0929. - eISSN 1865-0937. - ISBN 978-3-030-41589-1
Abstract
Previous research has exposed the discrepancy between the subject of analysis (real world) and the actual data on which the analysis is performed (data world) as a critical weak spot in visual analysis pipelines. In this paper, we demonstrate how Virtual Reality (VR) can help to verify the correspondence of both worlds in the context of Information Visualization (InfoVis) and Visual Analytics (VA). Immersion allows the analyst to dive into the data world and collate it to familiar real-world scenarios. If the data world lacks crucial dimensions, then these are also missing in created virtual environments, which may draw the analyst’s attention to inconsistencies between the database and the subject of analysis. When situating VR in a generic visualization pipeline, we can confirm its basic equality compared to other mediums as well as possible benefits. To overcome the guarded stance of VR in InfoVis and VA, we present a structured analysis of arguments, exhibiting the circumstances that make VR a viable medium for visualizations. As a further contribution, we discuss how VR can aid in minimizing the gap between the data world and the real world and present a use case that demonstrates two solution approaches. Finally, we report on initial expert feedback attesting the applicability of our approach in a real-world scenario for crime scene investigation.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
Visual analytics, Virtual reality, Visualization theory
Conference
Computer vision, imaging and computer graphics theory and applications : 14th International Joint Conference, VISIGRAPP 2019, Feb 25, 2019 - Feb 27, 2019, Prague, Czech Republic
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690KRAUS, Matthias, Matthias MILLER, Juri F. BUCHMÜLLER, Manuel STEIN, Niklas WEILER, Daniel A. KEIM, Mennatallah EL-ASSADY, 2020. Breaking the Curse of Visual Analytics : Accommodating Virtual Reality in the Visualization Pipeline. Computer vision, imaging and computer graphics theory and applications : 14th International Joint Conference, VISIGRAPP 2019. Prague, Czech Republic, Feb 25, 2019 - Feb 27, 2019. In: CLÁUDIO, Ana Paula, ed., Kadi BOUATOUCH, ed., Manuela CHESSA, ed. and others. Computer vision, imaging and computer graphics theory and applications : 14th International Joint Conference, VISIGRAPP 2019 : Revised Selected Papers. Cham:Springer, pp. 253-284. ISSN 1865-0929. eISSN 1865-0937. ISBN 978-3-030-41589-1. Available under: doi: 10.1007/978-3-030-41590-7_11
BibTex
@inproceedings{Kraus2020Break-53086,
  year={2020},
  doi={10.1007/978-3-030-41590-7_11},
  title={Breaking the Curse of Visual Analytics : Accommodating Virtual Reality in the Visualization Pipeline},
  number={1182},
  isbn={978-3-030-41589-1},
  issn={1865-0929},
  publisher={Springer},
  address={Cham},
  series={Communications in computer and information science},
  booktitle={Computer vision, imaging and computer graphics theory and applications : 14th International Joint Conference, VISIGRAPP 2019 : Revised Selected Papers},
  pages={253--284},
  editor={Cláudio, Ana Paula and Bouatouch, Kadi and Chessa, Manuela},
  author={Kraus, Matthias and Miller, Matthias and Buchmüller, Juri F. and Stein, Manuel and Weiler, Niklas and Keim, Daniel A. and El-Assady, Mennatallah}
}
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/123456789/53086">
    <dc:contributor>El-Assady, Mennatallah</dc:contributor>
    <dc:rights>terms-of-use</dc:rights>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>El-Assady, Mennatallah</dc:creator>
    <dc:contributor>Kraus, Matthias</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/53086"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dcterms:title>Breaking the Curse of Visual Analytics : Accommodating Virtual Reality in the Visualization Pipeline</dcterms:title>
    <dc:contributor>Buchmüller, Juri F.</dc:contributor>
    <dc:creator>Buchmüller, Juri F.</dc:creator>
    <dc:creator>Stein, Manuel</dc:creator>
    <dc:creator>Weiler, Niklas</dc:creator>
    <dc:creator>Kraus, Matthias</dc:creator>
    <dcterms:issued>2020</dcterms:issued>
    <dcterms:abstract xml:lang="eng">Previous research has exposed the discrepancy between the subject of analysis (real world) and the actual data on which the analysis is performed (data world) as a critical weak spot in visual analysis pipelines. In this paper, we demonstrate how Virtual Reality (VR) can help to verify the correspondence of both worlds in the context of Information Visualization (InfoVis) and Visual Analytics (VA). Immersion allows the analyst to dive into the data world and collate it to familiar real-world scenarios. If the data world lacks crucial dimensions, then these are also missing in created virtual environments, which may draw the analyst’s attention to inconsistencies between the database and the subject of analysis. When situating VR in a generic visualization pipeline, we can confirm its basic equality compared to other mediums as well as possible benefits. To overcome the guarded stance of VR in InfoVis and VA, we present a structured analysis of arguments, exhibiting the circumstances that make VR a viable medium for visualizations. As a further contribution, we discuss how VR can aid in minimizing the gap between the data world and the real world and present a use case that demonstrates two solution approaches. Finally, we report on initial expert feedback attesting the applicability of our approach in a real-world scenario for crime scene investigation.</dcterms:abstract>
    <dc:contributor>Stein, Manuel</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-03-05T10:40:00Z</dcterms:available>
    <dc:contributor>Weiler, Niklas</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-03-05T10:40:00Z</dc:date>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53086/1/Kraus_2-8fkll22xf9415.pdf"/>
    <dc:contributor>Miller, Matthias</dc:contributor>
    <dc:creator>Miller, Matthias</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53086/1/Kraus_2-8fkll22xf9415.pdf"/>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:language>eng</dc:language>
  </rdf:Description>
</rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Contact
URL of original publication
Test date of URL
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