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2019 | OriginalPaper | Chapter

Interactive Evolution of Swarms for the Visualisation of Consumptions

Authors : Catarina Maçãs, Nuno Lourenço, Penousal Machado

Published in: Interactivity, Game Creation, Design, Learning, and Innovation

Publisher: Springer International Publishing

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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 (iec) 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.

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previous chapter A Framework for Branched Storytelling and Matchmaking in Multiplayer Games

next chapter Using Motion Expressiveness and Human Pose Estimation for Collaborative Surveillance Art

A video of this interface can be seen in: https://vimeo.com/289093672.

In https://cdv.dei.uc.pt/ie-of-swarms-in-visualisation it is possible to see other visual solutions.

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Title: Interactive Evolution of Swarms for the Visualisation of Consumptions
Authors: Catarina Maçãs
Nuno Lourenço
Penousal Machado
Publisher: Springer International Publishing
Book: Interactivity, Game Creation, Design, Learning, and Innovation
Print ISBN: 978-3-030-06133-3

Electronic ISBN: 978-3-030-06134-0

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-06134-0_11

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