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Estudo Geral
Master thesis . 2019
Data sources: Estudo Geral
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Design Editorial Algorítmico

Authors: Ferreira, Diogo;

Design Editorial Algorítmico

Abstract

Atualmente existe um aumento na utilização de abordagens algorítmicas no domínio do Design Gráfico. Todavia, elas ainda têm pouca repercussão no contexto do Design Editorial, especialmente na geração de layouts de publicações impressas.Nesta dissertação é apresentado um sistema computacional que automaticamente gera diferentes possibilidade de layout, a partir do mesmo conteúdo. Este sistema foi desenvolvido utilizando as funcionalidades de scripting do Adobe InDesign. O sistema gera resultados baseado num conjunto de regras recolhidas de literatura reconhecida na área da Tipografia e Design Editorial. Resumidamente, o sistema funciona da seguinte forma. Inicialmente o utilizador define os conteúdos (texto e/ou imagens). De seguida, o utilizador pode (ou não) definir algumas propriedades da composição. Por fim, o sistema gera a publicação. O processo de geração começa com a análise do conteúdo, com o objetivo de definir aspetos da macro e microtipografia. Em seguida são definidas as propriedades visuais do documento (tais como as margens, ou os estilos de parágrafo e caracter). No fim, o conteúdo é composto na página e o resultado apresentado ao utilizador. O resultado é final é um ficheiro editável (InDesign). Isso permite ao utilizador realizar as alterações que achar necessárias à composição. Além disso, após uma geração é possível guardar um ficheiro com as propriedades e regras do resultado. Este ficheiro pode ser, posteriormente, utilizado para gerar publicações visualmente coerentes, útil, por exemplo para gerar coleções. Assim, este sistema apresenta-se como uma ferramenta que pode auxiliar o processo criativo dos designers gráficos, especialmente nas fases inicias e mais exploratórias dos projetos. Nesta dissertação também analisamos os resultados gerados pelo sistema em termos das suas propriedades macro e microtipográficas, bem como no que se refere à a sua diversidade e coerência.

Currently, there is an increase in the use of algorithmic approaches in the field of Graphic Design. However, they still have little repercussion in the context of Editorial Design, especially in the generation of printed publications layouts.This dissertation presents a computational system that automatically generates different layout possibilities from the same input content. The system was developed using Adobe InDesign scripting.The system generates results based on a set of rules collected from recognized literature in the field of Typography and Editorial Design. Briefly, the system works as follows. Initially, the user defines the contents (text and/or images). Then, the user can set some properties of the composition. Finally, the system generates the publication. The generation process begins with an analysis of the input content to define aspects of macro and microtypography. Then the document's visual properties, such as margins, or paragraph and character styles, are set. In the end, the content is composed on the page and the result presented to the user. The result is an editable file (InDesign). This allows the user to make any changes they deem necessary for the composition. Also, after each generation, it is possible to save a file with the properties and rules of the result. This file can be used later to generate visually coherent publications, which is useful for example to create collections.Thus, this system is presented as a tool that can help the creative process of graphic designers, especially in the early and more exploratory phases of projects. In this dissertation, we also analyze the results generated by the system in terms of its macro and microtypography properties, as well as its diversity and coherence.

Dissertação de Mestrado em Design e Multimédia apresentada à Faculdade de Ciências e Tecnologia

Country
Portugal
Related Organizations
Keywords

Tipografia, Algorithmic Design, Editorial Design, Typography, Design Editorial, Design Algorítmico, Adobe InDesign Scripting, Layout automático, Automatic Layout

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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green