Generative Artificial Intelligence in the Creative Process and Design Concept Development

Authors

DOI:

https://doi.org/10.24310/umatica.2023.v5i6.17153

Keywords:

Generative artificial intelligence, Instructions - keywords (prompts), Product design, Learning algorithm, Creative process.

Abstract

The presence of Artificial Intelligence has become increasingly common in the professional field of designers. This technology stands out for its efficiency and capability, surpassing specialists expectations during their creative process. In this article, we review the achievements obtained during the concept generation for academic design projects using different generative platforms for text and image by artificial intelligence. At the Center for Industrial Design Research (CIDI) of the National Autonomous University of Mexico, these generative image systems were used in two courses, yielding favorable basic results in formal and aesthetic configuration. These results served as the foundation for developing a methodology, scope, and guidelines to achieve image generation through the automatic training of an artificial intelligence based on language and conversation models.

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Author Biographies

Vanessa Sattele, Universidad Nacional Autónoma de México (UNAM)

Full-time professor at the Center for Industrial Design Research (CIDI) of the Faculty of Architecture, belonging to the National Autonomous University of Mexico (UNAM).

Address: Center for Industrial Design Research, Circuito escolar s/n Ciudad Universitaria, Coyoacán C.P. 04510, Mexico City (CDMX), Mexico

Main Research Areas: Medical equipment design, application of new technologies in design

Notable Projects and Publications: https://orcid.org/0000-0002-9605-362X

Email: vanessa.sattele@cidi.unam.mx

Institution: National Autonomous University of Mexico (UNAM)

Mauricio Reyes, Universidad Nacional Autónoma de México (UNAM)

Full-time academic at the Center for Industrial Design Research (CIDI) of the Faculty of Architecture, belonging to the National Autonomous University of Mexico (UNAM).

Address: Center for Industrial Design Research, Circuito escolar s/n Ciudad Universitaria, Coyoacán C.P. 04510, Mexico City (CDMX), Mexico

Main Research Areas: Human-Computer Interaction, Human-Robot Interaction, Development of mechanical and electromechanical prostheses

Notable Projects and Publications: https://orcid.org/0000-0001-9358-2705

Email: mauricio.reyes@cidi.unam.mx , Phone: 00+52+1+55 +40 17 83 89

Institution: National Autonomous University of Mexico (UNAM)

Andrés Fonseca, Universidad Nacional Autónoma de México (UNAM)

Adjunct professor at the Center for Industrial Design Research (CIDI) of the Faculty of Architecture, belonging to the National Autonomous University of Mexico (UNAM).

Address: Center for Industrial Design Research, Circuito escolar s/n Ciudad Universitaria, Coyoacán C.P. 04510, Mexico City (CDMX), Mexico

Research Areas: Artistic practice and its temporal modulators.

Jewelry as contemporary expression: Project "Sepan cuántos...".

New technologies in creative space, Art and Robotics, The Neo-Ultrabaroque.

Notable Projects and Publications:  https://orcid.org/0000-0002-9246-558X

Email: andres.fonseca@cidi.unam.mx

Institution: National Autonomous University of Mexico (UNAM)

References

Aso, N., Yanami, H., y Ogawa, M. (2022). Automatic Parametric Modeling Technique for Structural Design Standardization. IEEE Access, 10, 81031–81041. doi:10.1109/ACCESS.2022.3196001

Craiyon. (2023 Junio 20). Craiyon, AI Image Generator de https://www.craiyon.com/

Figoli, F. A., Mattioli, F., y Rampino, L. (2022). Artificial intelligence in the design process: The Impact on Creativity and Team Collaboration. FrancoAngeli.

Flick, C., y Worrall, K. (2022). The Ethics of Creative AI. C. Vear & F. Poltronieri (Eds.), The Language of Creative AI: Practices, Aesthetics and Structures, 73–91. doi:10.1007/978-3-031-10960-7_5

Guilford, J. P. (1950). Creativity. American Psychologist 5, 444–454.

Guzdial, M., y Riedl, M. (2019). An Interaction Framework for Studying Co-Creative AI. arXiv [Cs.HC]. Recuperado de http://arxiv.org/abs/1903.09709

Kocaballi, A. B. (2023). Conversational AI-Powered Design: ChatGPT as Designer, User, and Product. arXiv [Cs.HC]. Recuperado de http://arxiv.org/abs/2302.07406

Liu, V., y Chilton, L. B. (2022). Design Guidelines for Prompt Engineering Text-to-Image Generative Models. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. New Orleans, LA, Estados Unidos. doi:10.1145/3491102.3501825

Midjourney. (2023 Junio 20). Midjourney de https://www.midjourney.com/

Nadimpalli, M. (2017). Artificial intelligence risks and benefits. International Journal of Innovative Research in Science, Engineering and Technology, 6(6).

Norvig, P., y Russell, S. (2021) - Cambiar por: Russell, S.J y Norvig, P. (2021) Inteligencia Artificial. Un Enfoque Moderno Edición Global (4ta Edición), México. Pearson. https://www.ingebook.com/ib/NPcd/IB_BooksVis?cod_primaria=1000187&codigo_libro=11047

Nozaki, N., Konno, E., Sato, M., Sakairi, M., Shibuya, T., Kanazawa, Y., y Georgescu, S. (2017). Application of artificial intelligence technology in product design. Fujitsu Sci. Tech. J, 53(4), 43–51.

Oosthuizen, K., Botha, E., Robertson, J., y Montecchi, M. (2021). Artificial intelligence in retail: The AI-enabled value chain. Australasian Marketing Journal, 29(3), 264–273. doi:10.1016/j.ausmj.2020.07.007

OpenAI. (2023 Junio 20) ChatGPT de https://chat.openai.com/

Oppenlaender, J. (2022). The Creativity of Text-to-Image Generation. Proceedings of the 25th International Academic Mindtrek Conference, 192–202. Finland. doi:10.1145/3569219.3569352

Programa de las Naciones Unidas para el Desarrollo PNUD. (2023). Programa de las Naciones Unidas para el Desarrollo PNUD, Objetivos de desarrollo sostenible de https://www.undp.org/es/sustainable-development-goals

Rezwana, J., y Maher, M. L. (2023). Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems. ACM Trans. Comput. -Hum. Interact., 30(5). doi:10.1145/3519026

Ribot, Th. (1901). Ensayo acerca de la imaginación creadora. 24 - 26 Recuperado de: http://cdigital.dgb.uanl.mx/la/1020024845/1020024845.html

Vallor, S. (2016). Technology and the virtues: A philosophical guide to a future worth wanting. Oxford University Press.

Vartiainen, H., y Tedre, M. (2023). Using artificial intelligence in craft education: crafting with text-to-image generative models. Digital Creativity, 34(1), 1–21. doi:10.1080/14626268.2023.2174557

Tsang, Y. P., y Lee, C. K. M. (2022). Artificial intelligence in industrial design: A semi-automated literature survey. Engineering Applications of Artificial Intelligence, 112, 104884. doi:10.1016/j.engappai.2022.104884

World Design Organization (2023 Junio 20) Achieving the sustainable development goals by design, de https://sdgs.un.org/goals

Wei Xu, L. G., Marvin J. Dainoff, y Gao, Z. (2023). Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI. International Journal of Human–Computer Interaction, 39(3), 494–518. doi:10.1080/10447318.2022.2041900

Zhang, J., y Yu, H. (2023). EID: Facilitating Explainable AI Design Discussions in Team-Based Settings. International Journal of Crowd Science, 7(2), 47–54. doi:10.26599/IJCS.2022.9100034

Zhu, Q., y Luo, J. (2022). Generative Pre-Trained Transformer for Design Concept Generation: An Exploration. Proceedings of the Design Society, 2, 1825–1834. doi:10.1017/pds.2022.185

Published

2023-12-08

How to Cite

Sattele, V. ., Reyes, M., & Fonseca, A. (2023). Generative Artificial Intelligence in the Creative Process and Design Concept Development. UMÁTICA. Journal on Image Creation and Analysis, 5(6), 53–73. https://doi.org/10.24310/umatica.2023.v5i6.17153