TU Darmstadt / ULB / TUbiblio

User-Oriented Graph Visualization Taxonomy: A Data-Oriented Examination of Visual Features

Nazemi, Kawa ; Breyer, Matthias ; Kuijper, Arjan (2011)
User-Oriented Graph Visualization Taxonomy: A Data-Oriented Examination of Visual Features.
Human Centered Design.
doi: 10.1007/978-3-642-21753-1_64
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Presenting information in a user-oriented way has a significant impact on the success and comprehensibility of data visualizations. In order to correctly and comprehensibly visualize data in a user-oriented way data specific aspects have to be considered. Furthermore, user-oriented perception characteristics are decisive for the fast and proper interpretation of the visualized data. In this paper we present a taxonomy for graph visualization techniques. On the one hand it provides the user-oriented identification of applicable visual features for given data to be visualized. On the other hand the set of visualization techniques is enclosed which supports these identified visual features. Thus, the taxonomy supports the development of user-oriented visualizations by examination of data to obtain a beneficial association of data to visual features.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2011
Autor(en): Nazemi, Kawa ; Breyer, Matthias ; Kuijper, Arjan
Art des Eintrags: Bibliographie
Titel: User-Oriented Graph Visualization Taxonomy: A Data-Oriented Examination of Visual Features
Sprache: Englisch
Publikationsjahr: 2011
Verlag: Springer, Berlin, Heidelberg, New York
Reihe: Lecture Notes in Computer Science (LNCS); 6776
Veranstaltungstitel: Human Centered Design
DOI: 10.1007/978-3-642-21753-1_64
Kurzbeschreibung (Abstract):

Presenting information in a user-oriented way has a significant impact on the success and comprehensibility of data visualizations. In order to correctly and comprehensibly visualize data in a user-oriented way data specific aspects have to be considered. Furthermore, user-oriented perception characteristics are decisive for the fast and proper interpretation of the visualized data. In this paper we present a taxonomy for graph visualization techniques. On the one hand it provides the user-oriented identification of applicable visual features for given data to be visualized. On the other hand the set of visualization techniques is enclosed which supports these identified visual features. Thus, the taxonomy supports the development of user-oriented visualizations by examination of data to obtain a beneficial association of data to visual features.

Freie Schlagworte: Business Field: Digital society, Business Field: Visual decision support, Research Area: Generalized digital documents, Graph visualization, Taxonomies, Data visualization, Graph visualization taxonomy, User-oriented visualization, Visual features
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen