Implementation of generative artificial intelligence technologies in creative activities: development of a structural model of design thinking
DOI:
https://doi.org/10.30837/2522-9818.2024.2.108Keywords:
design-thinking methodology; generative artificial intelligence; innovations in design; structural model; creative process.Abstract
The subject of the study is systemic changes in the methodology of design thinking, taking place under the influence of the development and spread of generative artificial intelligence (AI) technologies in design and other creative industries. The purpose of the work is: analysis of modern research on the impact of generative AI technologies on creative industries, design and on design thinking; development of a structural model of design thinking to further explore the evolution of the methodology. The following tasks are set in the article: to analyze modern scientific publications regarding the essence, structure and content of design thinking; review research on the benefits and challenges of using generative AI in design processes; to develop a model that allows identifying and describing changes in key components of the design thinking methodology arising under the influence of widespread adoption of generative AI technologies. During the research, the following methods were used: analysis and synthesis of the content of technical, economic, philosophical, linguistic, historical scientific and methodical research on the problems of forming the conceptual apparatus of the design-thinking methodology and the use of generative AI in design processes; comparative-historical, retrospective methods; structural and logical analysis. The following results were achieved: the actualized need for a comprehensive research approach to analyze the multifaceted impact of AI technologies on design; the key advantages and challenges associated with the integration of AI into creative processes are identified; a structural model of presentation of the design-thinking methodology was developed in the form of four interconnected structural layers with subsequent decomposition of each of the layers into constituent elements. The conclusions highlight the depth and multifaceted nature of the changes taking place in design and other creative industries under the influence of generative AI and need further in-depth research. The developed structural model of the design-thinking methodology allows to decompose the complex creative process to a certain extent, laying the foundation for a comprehensive analysis of the evolution of the methodology and the systematic introduction of generative artificial intelligence technologies into design processes.
References
Список літератури
Yaloveha I. Sources of design thinking: heuristic in the first and second stages of the history of philosophy and science. Physical and Mathematical Education. 2019. No. 4. Р. 150–156. DOI: 10.31110/2413-1571-2019-022-4-023
Zub S., Yaloveha I. Development of heuristic methods at the beginning of the third stage of the history of philosophy and science. Physical and Mathematical Education. 2020. No. 2. Р. 58–65. DOI: 10.31110/2413-1571-2020-024-2-008
Johansson‐Sköldberg U., Woodilla J., Çetinkaya M. Design thinking: Past, present, and possible futures. Creativity and innovation management. 2013. No. 2. P. 121–146. DOI: 10.1111/caim.12023
Liedtka J. Why design thinking works. Harvard Business Review. 2018. No. 5. P. 72–79. URL: https://hbr.org/2018/09/why-design-thinking-works.
Rösch N., Tiberius V., Kraus S. Design thinking for innovation: context factors, process, and outcomes. European Journal of Innovation Management. 2023. No. 7. P. 160–176. DOI: 10.1108/EJIM-03-2022-0164
Chui M. et al. The economic potential of generative AI. 2023. URL: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier.
Franssen, Maarten, Gert-Jan Lokhorst, and Ibo van de Poel. Philosophy of Technology. The Stanford Encyclopedia of Philosophy. Spring 2023 Edition. URL: https://plato.stanford.edu/archives/spr2023/entries/technology/.
Grunde-McLaughlin M. et al. Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. arXiv preprint arXiv:2312.11681. 2023. DOI: 10.48550/arXiv.2312.11681
Autonomous AI design architect. Microsoft Learn. URL: https://learn.microsoft.com/en-us/training/paths/autonomous-ai-design-architect/
Tholander J., Jonsson M. Design ideation with ai-sketching, thinking, and talking with Generative Machine Learning Models. Proceedings of the 2023 ACM Designing Interactive Systems Conference. 2023. P. 1930–1940. DOI: 10.1145/3563657.3596014
Meron, Y., Araci, Y. T. Artificial intelligence in design education: evaluating ChatGPT as a virtual colleague for post-graduate course development. Design Science. 2023. No. 9. 30 р. DOI: 10.1017/dsj.2023.28
Wang X. et al. ChatGPT for design, manufacturing, and education. Procedia CIRP. 2023. No. 119. P. 7–14. DOI: 10.1016/j.procir.2023.04.001
Filippi S. Measuring the impact of ChatGPT on fostering concept generation in innovative product design. Electronics. 2023. No. 16. 3535 р. DOI: 10.3390/electronics12163535
Saadi J. I., Yang M. C. Generative Design: Reframing the Role of the Designer in Early-Stage Design Process. Journal of Mechanical Design. 2023. No. 145. 41411 р. DOI: 10.1115/1.4056799
Norman D. A. Design for a better world: Meaningful, sustainable, humanity centered. MIT Press. 2023.
References
Yaloveha, I. (2019), "Sources of design thinking: heuristic in the first and second stages of the history of philosophy and science", Physical and Mathematical Education, No. 4, Р. 150–156. DOI: 10.31110/2413-1571-2019-022-4-023
Zub, S., Yaloveha, I. (2020), "Development of heuristic methods at the beginning of the third stage of the history of philosophy and science", Physical and Mathematical Education, No. 2, Р. 58–65. DOI: 10.31110/2413-1571-2020-024-2-008
Johansson‐Sköldberg, U., Woodilla, J., Çetinkaya, M. (2013), "Design thinking: Past, present, and possible futures", Creativity and innovation management, No. 2. P. 121–146. DOI: 10.1111/caim.12023
Liedtka, J. (2018), "Why design thinking works", Harvard Business Review, No. 5, P. 72–79, available at: https://hbr.org/2018/09/why-design-thinking-works
Rösch, N., Tiberius, V., Kraus, S. (2023), "Design thinking for innovation: context factors, process, and outcomes", European Journal of Innovation Management, No. 7, P. 160–176. DOI: 10.1108/EJIM-03-2022-0164
Chui, M. et al. (2023), "The economic potential of generative AI", available at: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
Franssen, Maarten, Gert-Jan, Lokhorst, and Ibo van de Poel (2023), "Philosophy of Technology", The Stanford Encyclopedia of Philosophy, Spring 2023 Edition, available at: https://plato.stanford.edu/archives/spr2023/entries/technology/.
Grunde-McLaughlin, M. et al. (2023), "Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows", arXiv preprint arXiv:2312.11681. DOI: 10.48550/arXiv.2312.11681
Autonomous AI design architect. Microsoft Learn, available at: https://learn.microsoft.com/en-us/training/paths/autonomous-ai-design-architect/.
Tholander, J., Jonsson, M. (2023), "Design ideation with ai-sketching, thinking, and talking with Generative Machine Learning Models", Proceedings of the 2023 ACM Designing Interactive Systems Conference, P. 1930–1940. DOI: 10.1145/3563657.3596014
Meron, Y., Araci, Y. T. (2023), "Artificial intelligence in design education: evaluating ChatGPT as a virtual colleague for post-graduate course development", Design Science, No. 9, 30 р. DOI: 10.1017/dsj.2023.28
Wang, X. et al. (2023), "ChatGPT for design, manufacturing, and education", Procedia CIRP, No. 119, P. 7–14. DOI: 10.1016/j.procir.2023.04.001
Filippi, S. (2023), "Measuring the impact of ChatGPT on fostering concept generation in innovative product design", Electronics, No. 16, 3535 р. DOI: 10.3390/electronics12163535
Saadi, J. I., Yang, M. C. (2023), "Generative Design: Reframing the Role of the Designer in Early-Stage Design Process", Journal of Mechanical Design, No. 145, 41411 р. DOI: 10.1115/1.4056799
Norman, D. A. (2023), "Design for a better world: Meaningful, sustainable, humanity centered", MIT Press.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Our journal abides by the Creative Commons copyright rights and permissions for open access journals.
Authors who publish with this journal agree to the following terms:
Authors hold the copyright without restrictions and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-commercial and non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their published work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.
