Title :
The Impact of Multiple Coordinated Views on the Visual Data Exploration and Analysis
Author :
Maciel, M. ; Meiguins, B.S. ; Loureno, R. ; Meiguins, A. ; Godinho, Palulo Igor Alves
Author_Institution :
Programa de P6s-Grad. em Cienc. da Comput., Univ. Fed. do Para, Belem
Abstract :
The use of information visualization tools that support multiple coordinated views for data exploration and analysis has become more frequent. However, few usability studies have focused this group of tools. The goal of this paper is to perform usability experiments with tools supporting multiple coordinated views on the same screen, in separate screens and tools that support each technique individually. To ensure a fair evaluation, a complexity-based task taxonomy was developed. The tools were therefore used to answer questions of the same level of complexity.
Keywords :
data analysis; data visualisation; task analysis; user interfaces; complexity-based task taxonomy; information visualization tools; multiple coordinated views; usability experiments; visual data analysis; visual data exploration; Data analysis; Data mining; Data visualization; Filters; Information analysis; Performance analysis; Scattering; Taxonomy; Testing; Usability; Information Visualization; Multiple Coordinated Views; Usability;
Conference_Titel :
Information Visualisation, 2008. IV '08. 12th International Conference
Conference_Location :
London
Print_ISBN :
978-0-7695-3268-4