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EvoDesigner: Towards Aiding Creativity in Graphic Design

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Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13221))

Abstract

Graphic Design (gd) artefacts aim to attract people’s attention before any forward objectives. Thus, one of the goals of gd is frequently finding innovative aesthetics that stand out over competing design artefacts (such as other books covers in a store or other posters on the street). However, as gd is increasingly being democratised and broadly shared through social media, designers tend to adopt trendy solutions, lacking disruptive and catchy visual features. EvoDesigner aims to assist the exploration of innovative graphic design solutions by using an automatic evolutionary approach to evolve the design of a number of text, shapes, and image elements inside two-dimensional canvases (pages). To enable the collaboration human-machine, the process has been integrated into Adobe inDesign, so human designers and EvoDesigner may alternately edit and evolve the same design projects, using the same desktop-publishing software. In this paper, an overview of the proposed system is presented along with the experimental setup and results accomplished so far on an evolutionary engine developed. The results suggest the viability of the development made in this first iteration of the system, which aims to reinterpret existing layouts in an unexpected manner.

This work is funded by national funds through the fct - Foundation for Science and Technology, i.p., within the scope of the project cisuc - UID/CEC/00326/2020 and by European Social Fund, through the Regional Operational Program Centro 2020 and is partially supported by Fundação para a Ciência e Tecnologia, under the grant SFRH/BD/143553/2019.

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Authors and Affiliations

  1. CISUC, DEI, University of Coimbra, Coimbra, Portugal

    Daniel Lopes, João Correia & Penousal Machado

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  1. Daniel Lopes
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  2. João Correia
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Correspondence to Daniel Lopes .

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Editors and Affiliations

  1. University of Coimbra, Coimbra, Portugal

    Tiago Martins

  2. University of A Coruña, A Coruña, Spain

    Nereida Rodríguez-Fernández

  3. University of Coimbra, Coimbra, Portugal

    Sérgio M. Rebelo

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Lopes, D., Correia, J., Machado, P. (2022). EvoDesigner: Towards Aiding Creativity in Graphic Design. In: Martins, T., Rodríguez-Fernández, N., Rebelo, S.M. (eds) Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2022. Lecture Notes in Computer Science, vol 13221. Springer, Cham. https://doi.org/10.1007/978-3-031-03789-4_11

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  • DOI: https://doi.org/10.1007/978-3-031-03789-4_11

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