Information visualisation is the use of enhanced Graphical User Interfaces (GUIs) to communicate and interact with complex data sets such as social networks, multiattribute tables, and financial data.
Pages of text and numbers are not the most effective way to communicate or understand information. People prefer pictures. Interactive GUIs, where relevant attributes are mapped to qualities such as position, size, shape and colour, make it much easier to dynamically explore, manipulate and query data using both standard mouse and touch interactions.
The issues faced by, for example biologists, have driven many of the advances in information visualisation that we’ve made in the Institute. The sheer volume of data generated - in everything from molecular biology to environmental sciences - presents many challenges. We’ve devised novel visualisation techniques that allow biologists not only to see what’s going on in their data, but also communicate their discoveries to others. We’ve applied our expertise and research to a wide range of issues in the life sciences arena. These include the integration of disparate biological data sources in ecology; and identifying errors in data sets that include pedigrees, classifications and genomes.
We've also worked with several companies assiting them wiht visualisaiotn challenges. On thes epages you'll find information on our projects and publications. If you're interested in finding out more or working wiht us please get in touch!
Chalmers, K. (2015). A Task Taxonomy for Temporal Graph Visualisation. IEEE Transactions on Visualization and Computer Graphics, , (), .
Graham, M. (2015). Visual Techniques to Support Exploratory Analysis of Temporal Graph Data. In: Kennedy, J.,
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Hall, Kyle Wm.,
Riche, N. (2016). Telling Stories about Dynamic Networks with Graph Comics. In: (Ed.) Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI'16), , () ( ed.). (pp. ). San Jose, CA: . ACM New York, NY, USA.
Chapman, P. (2015). Visualizing Sets with Linear Diagrams. ACM Transactions on Human-Computer Interaction, , (), .
Leplatre, G. (2016). Evaluation of a Sketching Interface to Control a Concatenative Synthesiser. In: (Ed.) 42nd International Computer Music Conference, , () ( ed.). (pp. ). Utrecht, Netherlands: . .
Blake, A. (2016). Antipattern Comprehension: An Empirical Evaluation. In: (Ed.) Formal Ontology in Information Systems, , () ( ed.). (pp. ). : . International Association for Ontology and its Applications.