Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 12 von 34

Details

Autor(en) / Beteiligte
Titel
Breaking the Curse of Visual Analytics: Accommodating Virtual Reality in the Visualization Pipeline
Ist Teil von
  • Computer Vision, Imaging and Computer Graphics Theory and Applications, p.253-284
Ort / Verlag
Cham: Springer International Publishing
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • 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.
Sprache
Englisch
Identifikatoren
ISBN: 9783030415891, 3030415899
ISSN: 1865-0929
eISSN: 1865-0937
DOI: 10.1007/978-3-030-41590-7_11
Titel-ID: cdi_springer_books_10_1007_978_3_030_41590_7_11

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX