Constructing and Evaluating Visualisation Task Classifications: Process and Considerations
Kerracher, N., & Kennedy, J. (2019)
Constructing and Evaluating Visualisation Task Classifications: Process and Considerations. Computer Graphics Forum, 36(3), 47-59. https://doi.org/10.1111/cgf.13167
Categorising tasks is a common pursuit in the visualisation research community, with a wide variety of taxonomies, typologies, design spaces, and frameworks having been develo...
BayesPiles: Visualisation Support for Bayesian Network Structure Learning
Vogogias, A., Kennedy, J., Archambault, D., Bach, B., Smith, V. A., & Currant, H. (2018)
BayesPiles: Visualisation Support for Bayesian Network Structure Learning. ACM transactions on intelligent systems and technology, 10(1), 1-23. https://doi.org/10.1145/3230623
We address the problem of exploring, combining and comparing large collections of scored, directed networks for understanding inferred Bayesian networks used in biology. In th...
Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study
Kerracher, N., Kennedy, J., & Chalmers, K. (2018)
Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study. In J. Johansson, F. Sadlo, & T. Schreck (Eds.), Proceedings of the 2018 Eurographics Conference on Visualization (EuroVis 2018) - Short Papers, 79-83. https://doi.org/10.2312/eurovisshort.20181082
Task classifications are widely purported to be useful in the design process, with various suggestions having been made for their use at the different stages. However, little ...
Pathways for Theoretical Advances in Visualization
Chen, M., Grinstein, G., Johnson, C. R., Kennedy, J., & Tory, M. (2017)
Pathways for Theoretical Advances in Visualization. IEEE Computer Graphics and Applications, 37(4), 103-112. https://doi.org/10.1109/MCG.2017.3271463
There is little doubt that having a theoretic foundation will benefit the field of visualization, including its main subfields: information visualization, scientific visualiza...
MLCut: exploring multi-level cuts in dendrograms for biological data
Vogogias, A., Kennedy, J., Archambault, D., Anne Smith, V., & Currant, H. (2016)
MLCut: exploring multi-level cuts in dendrograms for biological data. In C. Turkay, & T. Ruan Wan (Eds.), Computer Graphics and Visual Computing (CGVC)https://doi.org/10.2312/cgvc.20161288
Choosing a single similarity threshold for cutting dendrograms is not sufficient for performing hierarchical clustering analysis of heterogeneous data sets. In addition, alter...
Telling stories about dynamic networks with graph comics.
Bach, B., Kerracher, N., Hall, K. W., Carpendale, S., Kennedy, J., & Henry Riche, N. (2016)
Telling stories about dynamic networks with graph comics. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI'16), (1-13). https://doi.org/10.1145/2858036.2858387
In this paper, we explore graph comics as a medium to communicate
changes in dynamic networks. While previous research
has focused on visualizing dynamic networks for data
Large-scale Argument Visualization (LSAV)
Khartabil, D., Wells, S., & Kennedy, J. (2016)
Large-scale Argument Visualization (LSAV). In Eurographics Conference on Visualization (EuroVis), Posters Track (2016)
Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially if they are contentious, argument...
Visual techniques to support exploratory analysis of temporal graph data.
Kerracher, N., Kennedy, J., Chalmers, K., & Graham, M. (2015)
Visual techniques to support exploratory analysis of temporal graph data. In E. Bertini, J. Kennedy, & E. Puppo (Eds.), Proceedings of the Eurographics Conference on Visualization (EuroVis '15), Short Papers Track, (103-107). https://doi.org/10.2312/eurovisshort.20151133
Recently, much research has focused on developing techniques for the visual representation of temporal graph data. This paper takes a wider look at the visual techniques invol...
A Task Taxonomy for Temporal Graph Visualisation
Kerracher, N., Kennedy, J., & Chalmers, K. (2015)
A Task Taxonomy for Temporal Graph Visualisation. IEEE Transactions on Visualization and Computer Graphics, 21(10), 1160-1172. https://doi.org/10.1109/tvcg.2015.2424889
By extending and instantiating an existing formal task framework, we define a task taxonomy and task design space for temporal graph visualisation. We discuss the process invo...
Temporal Multivariate Networks.
Archambault, D., Abello, J., Kennedy, J., Kobourov, S., Ma, K., Miksch, S., …Telea, A. C. (2014)
Temporal Multivariate Networks. In A. Kerren, H. Purchase, & M. Ward (Eds.), Multivariate Network Visualization, 151-175. Springer-Verlag. https://doi.org/10.1007/978-3-319-06793-3_8
In this chapter, we define, characterize, and summarize the data and visualization techniques relating to temporal multivariate networks. Section 2.1.1 provides definitions an...