Studies on artificial intelligence as a graphic design tool: a documentary researc
Keywords:
Graphic design, artificial intelligence, visual communicationAbstract
Graphic design is a discipline that addresses specific communication needs and has evolved over the years in tandem with society, driven by emerging technologies that support its processes. Therefore, stemming from the current advancements in the use and application of artificial intelligence, which has been in continuous evolution for over 50 years, the symbiosis of graphic design and artificial intelligence has emerged. This combination is highly appealing for the automation and generation of functionalities, but at the same time, it raises questions and assesses the systematic and excessive use of applications that might lose sight of the conceptualization and primary function of design from a human perspective. This article presents a literature review considering articles published in Scopus from 2017 with reference to tools and the use of artificial intelligence to generate design projects within four specialized areas: graphic identity design, typographic design, editorial design, and web design. Finally, it provides information about the main areas of design where interactions with artificial intelligence have been taking place, outlines proposals for future research, and discusses ethical implications in this regard.
Downloads
References
Astria—Tailor-made AI. (s. f.). Recuperado 17 de noviembre de 2023, de https://www.astria.ai/
Bastian, M., Heymann, S., y Jacomy, M. (2009). Gephi: An Open Source Software for Exploring and Manipulating Networks. Proceedings of the International AAAI Conference on Web and Social Media, 3(1), 361-362. https://doi.org/10.1609/icwsm.v3i1.13937
Bertão, R. A., Yeoun, M.-H., y Joo, J. (2023). A blind spot in AI-powered logo makers: Visual design principles. Visual Communication, 147035722311555. https://doi.org/10.1177/14703572231155593
Elsevier. (s. f.). Scopus Search Guide. https://schema.elsevier.com/dtds/document/bkapi/search/SCOPUSSearchTips.htm
Fong Cheu, H. (2023). Construction of a digital platform for Nuo opera based on artificial intelligence. En K. Subramanian (Ed.), Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022) (p. 83). SPIE. https://doi.org/10.1117/12.2655966
Frascara, J., Fontana, R., Meurer, B., Shakespear, R., Toorn, J. van, Winkler, D. R., Strickler, Z., y Frascara, J. (2004). Diseño gráfico para la gente: Comunicaciones de masa y cambio social (3. ed). Ed. Infinito.
González Morcillo, C., Vallejo Fernández, D., Albusac Jiménez, J. A., y Castro Sánchez, J. J. (2012). Realidad Aumentada. Un Enfoque Práctico con ARToolKit y Blender. Creative Commons. https://www.librorealidadaumentada.com/descargas/Realidad_Aumentada_1a_Edicion.pdf
Huo, H., y Wang, F. (2022). A Study of Artificial Intelligence-Based Poster Layout Design in Visual Communication. Scientific Programming, 2022, 1-9. https://doi.org/10.1155/2022/1191073
Jacomy, M. (2013). ScienceScape [Software]. https://medialab.sciencespo.fr/en/tools
Jacomy, M., Venturini, T., Heymann, S., y Bastian, M. (2014). ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software. PLoS ONE, 9(6), e98679. https://doi.org/10.1371/journal.pone.0098679
Jerbić, B., Švaco, M., Šuligoj, F., Šekoranja, B., Vidaković, J., Turković, M., Lekić, M., Pavlek, B., Bolfan, B., Bruketa, D., Borošić, D., y Bušić, B. (2023). Hybrid Intelligence for Visual Identity Design: A Case Study. En I. Petrovic, E. Menegatti, y I. Marković
(Eds.), Intelligent Autonomous Systems 17 (Vol. 577, pp. 661-670). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-22216-0_44
Jiang, Y., Lian, Z., Tang, Y., y Xiao, J. (2017). DCFont: An end-to-end deep chinese font generation system. SIGGRAPH Asia 2017 Technical Briefs, 1-4. https://doi.org/10.1145/3145749.3149440
Kaluarachchi, T., y Wickramasinghe, M. (2023). A systematic literature review on automatic website generation. Journal of Computer Languages, 75, 101202. https://doi.org/10.1016/j.cola.2023.101202
Luma AI. (s. f.). Recuperado 17 de noviembre de 2023, de https://lumalabs.ai/
Midjourney. (s. f.). Midjourney. Recuperado 17 de noviembre de 2023, de https://www.midjourney.com/home?callbackUrl=%2Fexplore
Miyazono, T., Iwana, B. K., Haraguchi, D., y Uchida, S. (2021). Font Style that Fits an Image – Font Generation Based on Image Context. En J. Lladós, D. Lopresti, y S. Uchida (Eds.), Document Analysis and Recognition – ICDAR 2021 (Vol. 12823, pp. 569-584). Springer International Publishing. https://doi.org/10.1007/978-3-030-86334-0_37
Open AI. (s. f.). DALL·E 2. Recuperado 17 de noviembre de 2023, de https://openai.com/dall-e-2
Rouhiainen, L. P. (2018). Inteligencia artificial 101 cosas que debes saber hoy sobre nuestro futuro (Primera). Editorial Planeta, S.A.
Schetinger, V., Di Bartolomeo, S., El‐Assady, M., McNutt, A., Miller, M., Passos, J. P. A., y Adams, J. L. (2023). Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models. Computer Graphics Forum, 42(3), 423-435. https://doi.org/10.1111/cgf.14841
Sciences Po médialab. (2023, octubre 27). Sciences Po Médialab. https://medialab.sciencespo.fr
Slade-Brooking, C. (2016). Creating a brand identity: A guide for designers. Laurence King Publishing.
Stable Diffusion Online—AI Image Generator. (s. f.). Recuperado 17 de noviembre de 2023, de https://stablediffusionweb.com/
Tian, N., Liu, Y., y Sun, Z. (2022). JN-Logo: A Logo Database for Aesthetic Visual Analysis. Electronics, 11(19), 3248. https://doi.org/10.3390/electronics11193248
Weng, H., Huang, D., Zhang, T., y Lin, C.-Y. (2023). Learn and Sample Together: Collaborative Generation for Graphic Design Layout. Proceedings of the Thirty-Second
International Joint Conference on Artificial Intelligence, 5851-5859. https://doi.org/10.24963/ijcai.2023/649
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Artificium
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
La Revista Artificio proporciona un acceso abierto a su contenido, basado en el principio de que ofrecer un acceso libre a las investigaciones ayuda a incrementar el intercambio global del conocimiento. Artificio no cobra ni cobrará ningún cargo a sus lectores por concepto de suscripción, ni a los autores por enviar, procesar o publicar sus artículos.
Como condición de publicación, los autores acuerdan liberar sus derechos de autor bajo una licencia compartida, específicamente la licencia de Creative Commons Reconocimiento-NoComercial-Compartir Igual 4.0 Internacional
Esta licencia permite a cualquier persona compartir, copiar y redistribuir el material en cualquier medio o formato bajo los siguientes términos:
*Dar crédito al autor del texto
*No hacer uso del material con propósitos comerciales
*No transformar o modificar el material.
