GeneaQuilts: A System for Exploring Large Genealogies

GeneaQuilts is a new visualization technique for representing large genealogies of up to several thousand individuals. The visualization takes the form of a diagonally-filled matrix, where rows are individuals and columns are nuclear families. After identifying the major tasks performed in genealogi...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on visualization and computer graphics Ročník 16; číslo 6; s. 1073 - 1081
Hlavní autoři: Bezerianos, Anastasia, Dragicevic, Pierre, Fekete, Jean-Daniel, Juhee Bae, Watson, Ben
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.11.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Témata:
Chaos
Computational fluid dynamics
Computer programs
Computer Science
Filtering
Genealogy
genealogy visualization
Human-Computer Interaction
interaction
Interactive
Navigation
Tasks
Visualization
interaction
Genealogy visualization
ISSN:1077-2626, 1941-0506
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:GeneaQuilts is a new visualization technique for representing large genealogies of up to several thousand individuals. The visualization takes the form of a diagonally-filled matrix, where rows are individuals and columns are nuclear families. After identifying the major tasks performed in genealogical research and the limits of current software, we present an interactive genealogy exploration system based on GeneaQuilts. The system includes an overview, a timeline, search and filtering components, and a new interaction technique called Bring & Slide that allows fluid navigation in very large genealogies. We report on preliminary feedback from domain experts and show how our system supports a number of their tasks.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2010.159