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All Outputs (126)

Developing Visualisations to Enhance an Insider Threat Product: A Case Study (2021)
Presentation / Conference Contribution
Graham, M., Kukla, R., Mandrychenko, O., Hart, D., & Kennedy, J. (2021, October). Developing Visualisations to Enhance an Insider Threat Product: A Case Study. Presented at 2021 IEEE Symposium on Visualization for Cyber Security (VizSec), New Orleans, USA

This paper describes the process of developing data visualisations to enhance a commercial software platform for combating insider threat, whose existing UI, while perfectly functional, was limited in its ability to allow analysts to easily spot the... Read More about Developing Visualisations to Enhance an Insider Threat Product: A Case Study.

Design and Evaluation of Visualisation Techniques to Facilitate Argument Exploration (2021)
Journal Article
Khartabil, D., Collins, C., Wells, S., Bach, B., & Kennedy, J. (2021). Design and Evaluation of Visualisation Techniques to Facilitate Argument Exploration. Computer Graphics Forum, 40(6), 447-465. https://doi.org/10.1111/cgf.14389

This paper reports the design and comparison of three visualizations to represent the structure and content within arguments. Arguments are artefacts of reasoning widely used across domains such as education, policy making, and science. An argument i... Read More about Design and Evaluation of Visualisation Techniques to Facilitate Argument Exploration.

Embodied online dance learning objectives of CAROUSEL + (2021)
Presentation / Conference Contribution
Mitchell, K., Koniaris, B., Tamariz, M., Kennedy, J., Cheema, N., Mekler, E., Van Der Linden, P., Herrmann, E., Hämäläinen, P., McGregor, I., Slusallek, P., & Mac Williams, C. (2021, March). Embodied online dance learning objectives of CAROUSEL +. Presented at 2021 IEEE VR 6th Annual Workshop on K-12+ Embodied Learning through Virtual and Augmented Reality (KELVAR), Lisbon, Portugal

This is a position paper concerning the embodied dance learning objectives of the CAROUSEL + 1 project, which aims to impact how online immersive technologies influence multiuser interaction and communication with a focus on dancing and learning danc... Read More about Embodied online dance learning objectives of CAROUSEL +.

Visual Encodings for Networks with Multiple Edge Types (2020)
Presentation / Conference Contribution
Vogogias, T., Archambault, D. W., Bach, B., & Kennedy, J. (2020, October). Visual Encodings for Networks with Multiple Edge Types. Presented at International Conference on Advanced Visual Interfaces, Napkes, Italy

This paper reports on a formal user study on visual encodings of networks with multiple edge types in adjacency matrices. Our tasks and conditions were inspired by real problems in computational biology. We focus on encodings in adjacency matrices, s... Read More about Visual Encodings for Networks with Multiple Edge Types.

Constructing and Evaluating Visualisation Task Classifications: Process and Considerations (2019)
Presentation / Conference Contribution
Kerracher, N., & Kennedy, J. (2017, June). Constructing and Evaluating Visualisation Task Classifications: Process and Considerations. Presented at EuroVis 2017 Eurographics / IEEE VGTC Conference on Visualization 2017, Barcelona, Spain

Categorising tasks is a common pursuit in the visualisation research community, with a wide variety of taxonomies, typologies, design spaces, and frameworks having been developed over the last three decades. While these classifications are universall... Read More about Constructing and Evaluating Visualisation Task Classifications: Process and Considerations.

BayesPiles: Visualisation Support for Bayesian Network Structure Learning (2018)
Journal Article
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), Article 5. 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 this feld, heuristic algorithms explore the space of possible network solutio... Read More about BayesPiles: Visualisation Support for Bayesian Network Structure Learning.

Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study (2018)
Presentation / Conference Contribution
Kerracher, N., Kennedy, J., & Chalmers, K. (2018, June). Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study. Presented at Eurographics Conference on Visualization (EuroVis)

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 has been written regarding the actual use of task classifications in these... Read More about Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study.

Pathways for Theoretical Advances in Visualization (2017)
Journal Article
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 visualization and visual analytics, as well as many domain-specific applications suc... Read More about Pathways for Theoretical Advances in Visualization.

MLCut: exploring multi-level cuts in dendrograms for biological data (2016)
Presentation / Conference Contribution
Vogogias, A., Kennedy, J., Archambault, D., Anne Smith, V., & Currant, H. (2016, September). MLCut: exploring multi-level cuts in dendrograms for biological data. Presented at Computer Graphics & Visual Computing (CGVC) 2016

Choosing a single similarity threshold for cutting dendrograms is not sufficient for performing hierarchical clustering analysis of heterogeneous data sets. In addition, alternative automated or semi-automated methods that cut dendrograms in multiple... Read More about MLCut: exploring multi-level cuts in dendrograms for biological data.

Telling stories about dynamic networks with graph comics. (2016)
Presentation / Conference Contribution
Bach, B., Kerracher, N., Hall, K. W., Carpendale, S., Kennedy, J., & Henry Riche, N. (2016, May). Telling stories about dynamic networks with graph comics. Presented at CHI 16

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 exploration, we want to see if we can take advantage of the visual express... Read More about Telling stories about dynamic networks with graph comics..

Large-scale Argument Visualization (LSAV) (2016)
Presentation / Conference Contribution
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 structures can become large and complex. Visualization tools have been dev... Read More about Large-scale Argument Visualization (LSAV).

Hierarchical Clustering with Multiple-Height Branch-Cut Applied to Short Time-Series Gene Expression Data (2016)
Presentation / Conference Contribution
Vogogias, A., Kennedy, J., & Archambault, D. (2016, July). Hierarchical Clustering with Multiple-Height Branch-Cut Applied to Short Time-Series Gene Expression Data. Presented at Eurovis 2016

Rigid adherence to pre-specified thresholds and static graphical representations can lead to incorrect decisions on merging of clusters. As an alternative to existing automated or semi-automated methods, we developed a visual analytics approach for p... Read More about Hierarchical Clustering with Multiple-Height Branch-Cut Applied to Short Time-Series Gene Expression Data.

Visual techniques to support exploratory analysis of temporal graph data. (2015)
Presentation / Conference Contribution
Kerracher, N., Kennedy, J., Chalmers, K., & Graham, M. (2016, May). Visual techniques to support exploratory analysis of temporal graph data. Presented at EuroVis '15

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 involved in exploratory analysis of such data, considering the variety of sub ta... Read More about Visual techniques to support exploratory analysis of temporal graph data..

A Task Taxonomy for Temporal Graph Visualisation (2015)
Journal Article
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 involved in their generation, and describe how the design space can be ‘sliced... Read More about A Task Taxonomy for Temporal Graph Visualisation.

The design space of temporal graph visualisation. (2014)
Presentation / Conference Contribution
Kerracher, N., Kennedy, J., & Chalmers, K. (2014, June). The design space of temporal graph visualisation. Presented at 8th Eurographics Conference on Visualization (EuroVis '14)

This paper presents our work in mapping the design space of techniques for temporal graph visualisation. We identify two independent dimensions upon which the techniques can be classified: graph structural encoding and temporal encoding. Based on the... Read More about The design space of temporal graph visualisation..

Temporal Multivariate Networks. (2014)
Book Chapter
Archambault, D., Abello, J., Kennedy, J., Kobourov, S., Ma, K., Miksch, S., Muelder, C., & 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 and examples that characterize the networks we address in this chapter. We fu... Read More about Temporal Multivariate Networks..

Visualization beyond the desktop--the Next Big Thing. (2014)
Journal Article
Roberts, J. C., Ritsos, P. D., Badam, S. K., Brodbeck, D., Kennedy, J., & Elmqvist, N. (2014). Visualization beyond the desktop--the Next Big Thing. IEEE Computer Graphics and Applications, 34(6), 26-34. https://doi.org/10.1109/MCG.2014.82

Visualization is coming of age. With visual depictions being seamlessly integrated into documents, and data visualization techniques being used to understand increasingly large and complex datasets, the term "visualization"' is becoming used in every... Read More about Visualization beyond the desktop--the Next Big Thing..

Helium: visualization of large scale plant pedigrees (2014)
Journal Article
Shaw, P., Graham, M., Kennedy, J., Milne, I., & Marshall, D. F. (2014). Helium: visualization of large scale plant pedigrees. BMC Bioinformatics, 15, Article 259. https://doi.org/10.1186/1471-2105-15-259

Plant breeders use an increasingly diverse range of data types to identify lines with desirable characteristics suitable to be taken forward in plant breeding programmes. There are a number of key morphological and physiological traits, such as disea... Read More about Helium: visualization of large scale plant pedigrees.

MaTSE: the gene expression time-series explorer. (2013)
Journal Article
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2013). MaTSE: the gene expression time-series explorer. BMC Bioinformatics, 14, https://doi.org/10.1186/1471-2105-14-S19-S1

Background High throughput gene expression time-course experiments provide a perspective on biological functioning recognized as having huge value for the diagnosis, treatment, and prevention of diseases. There are however significant challenges to... Read More about MaTSE: the gene expression time-series explorer..

Visual cleaning of genotype data. (2013)
Presentation / Conference Contribution
Kennedy, J., Graham, M., Paterson, T., & Law, A. (2013). Visual cleaning of genotype data. In Proceedings of BioVis 2013 (105-112). https://doi.org/10.1109/BioVis.2013.6664353

While some data cleaning tasks can be performed automatically, many more require expert human guidance to steer the cleaning process, especially if erroneous or unclean data is a product of relationships between entities. An example is pedigree genot... Read More about Visual cleaning of genotype data..