Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
An evaluation of space-filling information visualizations for depicting hierarchical structures
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Participatory Design: Principles and Practices
Participatory Design: Principles and Practices
Two case studies of open source software development: Apache and Mozilla
ACM Transactions on Software Engineering and Methodology (TOSEM)
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Angular Brushing of Extended Parallel Coordinates
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
Parallel Coordinates: Visual Multidimensional Geometry and Its Applications
Parallel Coordinates: Visual Multidimensional Geometry and Its Applications
Semiology of graphics
Parallel Sets: Interactive Exploration and Visual Analysis of Categorical Data
IEEE Transactions on Visualization and Computer Graphics
Information Visualization: Design for Interaction (2nd Edition)
Information Visualization: Design for Interaction (2nd Edition)
Crowdsourcing graphical perception: using mechanical turk to assess visualization design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The effects of diversity on group productivity and member withdrawal in online volunteer groups
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualization of Diversity in Large Multivariate Data Sets
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
VisBricks: Multiform Visualization of Large, Inhomogeneous Data
IEEE Transactions on Visualization and Computer Graphics
DICON: Interactive Visual Analysis of Multidimensional Clusters
IEEE Transactions on Visualization and Computer Graphics
From visual data exploration to visual data mining: a survey
IEEE Transactions on Visualization and Computer Graphics
A Taxonomy of Visual Cluster Separation Factors
Computer Graphics Forum
Empirical Studies in Information Visualization: Seven Scenarios
IEEE Transactions on Visualization and Computer Graphics
Visual exploration of microbial populations
BIOVIS '11 Proceedings of the 2011 IEEE Symposium on Biological Data Visualization
Evaluation of cluster identification performance for different PCP variants
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Selecting good views of high-dimensional data using class consistency
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Editorial: Foreword to the special section on visual analytics
Computers and Graphics
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In organizational management, researchers and managers study separations or faultlines that occur in diverse teams when members form subgroups based on the alignment of multiple demographic characteristics. The team faultline concept is operationalized using multivariate cluster analysis-analysts use faultline measures to identify subgroups/clusters in a team and to quantify how subgroups/clusters are separated. Unfortunately, these measures have limited capacity to enable users to observe and explore faultlines and subgroup structure across the examined attributes efficiently. We address this problem and make three contributions. First, we propose a visual representation for communicating faultline information that is based on multiple linked, stacked histograms in an axis-parallel layout. Second, we evaluate the effectiveness of the proposed technique in a controlled user study, comparing it to the two other common multivariate representations of clusters: parallel coordinates and scatter plot matrices. While we chose faultline-related tasks based on the requirements by domain experts in organizational management, the study findings can be generalized to representations and tasks involving distributions of clusters of multivariate objects in mixed-type data. Finally, inspired by geological faultlines, we propose several visual enhancements to stacked histograms to further facilitate the task of identifying ''cracks'' within work teams.