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All Outputs (87)

Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments (2024)
Presentation / Conference Contribution
Casas, L., Mitchell, K., Tamariz, M., Hannah, S., Sinclair, D., Koniaris, B., & Kennedy, J. (2024, May). Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments. Paper presented at SIGCHI GenAI in UGC Workshop, Honolulu, Hawaii

We consider practical and social considerations of collaborating verbally with colleagues and friends, not confined by physical distance, but through seamless networked telepresence to interactively create shared virtual dance environments. In respon... Read More about Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments.

Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments (2024)
Presentation / Conference Contribution
Casas, L., Mitchell, K., Tamariz, M., Hannah, S., Sinclair, D., Koniaris, B., & Kennedy, J. (2024, May). Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments. Presented at CHI24 - Generative AI in User-Generated Content, Honolulu, Hawaii

We consider practical and social considerations of collaborating verbally with colleagues and friends, not confined by physical distance, but through seamless networked telepres-ence to interactively create shared virtual dance environments. In respo... Read More about Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments.

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.

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.

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.

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..

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..

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..

Pianola - visualization of multivariate time-series security event data. (2013)
Presentation / Conference Contribution
Thomson, A., Graham, M., & Kennedy, J. (2013). Pianola - visualization of multivariate time-series security event data. In Proceedings of IV2013 (123-131). https://doi.org/10.1109/IV.2013.15

Monitoring log files for network intrusions is unwieldy. To build a mental model of the log, an analyst is required to recognise continuous timelines and attack patterns from a dataset that is essentially limited to an ordered list of events. Informa... Read More about Pianola - visualization of multivariate time-series security event data..

Redeeming pedigree data with an interactive error cleaning visualisation. (2012)
Presentation / Conference Contribution
Graham, M., Kennedy, J., Paterson, T., & Law, A. (2012). Redeeming pedigree data with an interactive error cleaning visualisation. In Proceedings of Advanced Visual Interfaces 2012 (741-744). https://doi.org/10.1145/2254556.2254698

We describe a visual data cleansing application for pedigree genotype data, which is used to redeem otherwise unusable pedigree data sets. Biologists and bioinformaticians dynamically and iteratively mask pieces of information from a dirty data set a... Read More about Redeeming pedigree data with an interactive error cleaning visualisation..

MaTSE: The microarray time-series explorer (2012)
Presentation / Conference Contribution
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2012). MaTSE: The microarray time-series explorer. In 2012 IEEE Symposium on Biological Data Visualization (BioVis) (41-48). https://doi.org/10.1109/biovis.2012.6378591

This paper describes the design, development and evaluation of the Microarray Time-Series Explorer (MaTSE), a novel information visualization application for the exploratory analysis of large scale microarray timeseries data. The software combines a... Read More about MaTSE: The microarray time-series explorer.

BioVis 2011 Conference Proceedings. (2011)
Presentation / Conference Contribution
(2011, October). BioVis 2011 Conference Proceedings

The rapidly expanding field of biology creates enormous challenges for computational visualization techniques for enabling researchers to gain insight from their large and highly complex data sets. The goal of the BioVis 2011 symposium is to create t... Read More about BioVis 2011 Conference Proceedings..

An evaluation of name matching techniques. (2011)
Presentation / Conference Contribution
Peng, T., Li, L., & Kennedy, J. (2011). An evaluation of name matching techniques. In Proceedings of 2nd Annual International Conference on Business Intelligence and Data Warehousing

Abstract—There is a growing awareness that the high quality of string matching is a key to a variety of applications, such as data integration, text and web mining, information retrieval, search engine. In such applications, matching names is one of... Read More about An evaluation of name matching techniques..