Research Article
Interactive Evolution of Swarms for the Visualisation of Consumptions
@INPROCEEDINGS{10.1007/978-3-030-06134-0_11, author={Catarina Ma\`{e}\"{a}s and Nuno Louren\`{e}o and Penousal Machado}, title={Interactive Evolution of Swarms for the Visualisation of Consumptions}, proceedings={Interactivity, Game Creation, Design, Learning, and Innovation. 7th EAI International Conference, ArtsIT 2018, and 3rd EAI International Conference, DLI 2018, ICTCC 2018, Braga, Portugal, October 24--26, 2018, Proceedings}, proceedings_a={ARTSIT \& DLI}, year={2019}, month={1}, keywords={Data aesthetics Genetic algorithms Evolutionary computation Swarm systems Visualisation}, doi={10.1007/978-3-030-06134-0_11} }- Catarina Maçãs
Nuno Lourenço
Penousal Machado
Year: 2019
Interactive Evolution of Swarms for the Visualisation of Consumptions
ARTSIT & DLI
Springer
DOI: 10.1007/978-3-030-06134-0_11
Abstract
Information Visualisation studies how visual representations can help understanding hidden patterns in large amounts of data. The produced visual artefacts should have both functional and aesthetic dimensions to make the visualisation appealing to the user. However, in the Data Aesthetics field, the process of creation of visualisations is more concerned with aesthetics. Our goal for this project is to develop a framework to explore the aesthetic dimension of a functional visualisation model characterised by a series of parameters, which can make the visualisation more functional or more aesthetically appealing. In concrete, we propose a framework based on Interactive Evolutionary Computation () to evolve the parameterisation of the visualisation model, enabling the user to explore new possibilities and to create different aesthetics over the data. Our case study will be a dataset with the consumption patterns of the Portuguese people in one retail company. The developed system is able to create a wide diversity of emergent visual artefacts that can be intriguing and aesthetically appealing for the user.
