Off-Screen Visualization Perspectives : Tasks and Challenges

Cite This

Files in this item

Checksum: MD5:47f21e34ab25965168c1ee7b2e9328b9

JÄCKLE, 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, Oct 26, 2015. In: Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015

@inproceedings{Jackle2015OffSc-45147, title={Off-Screen Visualization Perspectives : Tasks and Challenges}, url={}, year={2015}, 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 xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dcterms:title>Off-Screen Visualization Perspectives : Tasks and Challenges</dcterms:title> <dcterms:issued>2015</dcterms:issued> <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> <dcterms:isPartOf rdf:resource=""/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:contributor>Jäckle, Dominik</dc:contributor> <dcterms:rights rdf:resource=""/> <dcterms:available rdf:datatype="">2019-02-21T12:53:16Z</dcterms:available> <dspace:isPartOfCollection rdf:resource=""/> <dc:contributor>Kwon, Bum Chul</dc:contributor> <dc:rights>terms-of-use</dc:rights> <dc:date rdf:datatype="">2019-02-21T12:53:16Z</dc:date> <dspace:hasBitstream rdf:resource=""/> <dc:creator>Jäckle, Dominik</dc:creator> <dc:creator>Kwon, Bum Chul</dc:creator> <dc:creator>Keim, Daniel A.</dc:creator> <bibo:uri rdf:resource=""/> <dcterms:hasPart rdf:resource=""/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:language>eng</dc:language> <dc:contributor>Keim, Daniel A.</dc:contributor> </rdf:Description> </rdf:RDF>

Downloads since Feb 21, 2019 (Information about access statistics)

Jaeckle_2-1deeo57o1zx0l6.pdf 50

This item appears in the following Collection(s)

Search KOPS


My Account