Off-Screen Visualization Perspectives : Tasks and Challenges

Lade...
Vorschaubild
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2015
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
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
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015. 2015
Zusammenfassung

The visual exploration of large data spaces often requires zooming and panning operations to obtain details. However, drilling down to see details results in the loss of contextual overview. Existing overview-plus-detail approaches provide context while the user examines details, but typically suffer from distortion or overplotting. This is why, there is great potential for off-screen visualization. Off-screen visualization is a family of techniques which provide data-driven context with the aid of visual proxies. Visual proxies can be visually encoded and adapted to the necessary data context with respect to scalability and visualization of high dimensional data. In this paper, we uncover the potential of off-screen visualization in visual data exploration by introducing its application examples to different domains through three derived scenarios. Furthermore, we categorize supporting tasks of off-screen visualizations and show areas of improvement. Then, we derive research challenges of offscreen visualizations and draw our perspectives on the issues for future research. This paper will provide guidance for future research on off-screen visualization techniques in visual data analysis.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Off-screen Visualization
Konferenz
Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015, 26. Okt. 2015, Chicago, Illinois
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690JÄCKLE, Dominik, Bum Chul KWON, Daniel A. KEIM, 2015. Off-Screen Visualization Perspectives : Tasks and Challenges. Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015. Chicago, Illinois, 26. Okt. 2015. In: Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015. 2015
BibTex
@inproceedings{Jackle2015OffSc-45147,
  year={2015},
  title={Off-Screen Visualization Perspectives : Tasks and Challenges},
  url={https://scibib.dbvis.de/publications/view/632},
  booktitle={Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015},
  author={Jäckle, Dominik and Kwon, Bum Chul and Keim, Daniel A.}
}
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/123456789/45147">
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/45147"/>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:rights>terms-of-use</dc:rights>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:creator>Kwon, Bum Chul</dc:creator>
    <dc:contributor>Jäckle, Dominik</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-02-21T12:53:16Z</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/123456789/45147/1/Jaeckle_2-1deeo57o1zx0l6.pdf"/>
    <dc:contributor>Kwon, Bum Chul</dc:contributor>
    <dc:language>eng</dc:language>
    <dcterms:abstract xml:lang="eng">The visual exploration of large data spaces often requires zooming and panning operations to obtain details. However, drilling down to see details results in the loss of contextual overview. Existing overview-plus-detail approaches provide context while the user examines details, but typically suffer from distortion or overplotting. This is why, there is great potential for off-screen visualization. Off-screen visualization is a family of techniques which provide data-driven context with the aid of visual proxies. Visual proxies can be visually encoded and adapted to the necessary data context with respect to scalability and visualization of high dimensional data. In this paper, we uncover the potential of off-screen visualization in visual data exploration by introducing its application examples to different domains through three derived scenarios. Furthermore, we categorize supporting tasks of off-screen visualizations and show areas of improvement. Then, we derive research challenges of offscreen visualizations and draw our perspectives on the issues for future research. This paper will provide guidance for future research on off-screen visualization techniques in visual data analysis.</dcterms:abstract>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:issued>2015</dcterms:issued>
    <dcterms:title>Off-Screen Visualization Perspectives : Tasks and Challenges</dcterms:title>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/45147/1/Jaeckle_2-1deeo57o1zx0l6.pdf"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-02-21T12:53:16Z</dc:date>
    <dc:creator>Jäckle, Dominik</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
Prüfdatum der URL
2019-02-21
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen