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Journals / IDEART Uluslararası Tasarım ve Sanat Dergisi / 2026 / Cilt: 4 Sayı: 1

The Expanding Ecosystem of Graphic Design: A Computational Content Analysis of International Design Platforms (2020–2026)

Grafik Tasarımın Genişleyen Ekosistemi: Uluslararası Tasarım Platformlarının Hesaplamalı İçerik Analizi (2020–2026)

Onur Aşkın(DOĞUŞ ÜNİVERSİTESİ, SANAT VE TASARIM FAKÜLTESİ, DİJİTAL OYUN TASARIMI BÖLÜMÜ)0000-0002-1928-474X
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Publication Date
2026-10-14
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings reveal that generative artificial intelligence (AI) became a major turning point in graphic design discourse after 2022, giving rise to a new design ecosystem that connects areas such as brand identity, user experience (UX), motion graphics, design systems, typography, education, and design workflows.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Graphic design has long been defined through object-centered visual products such as posters, logos, books, and packaging.
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Key Findings & Data:However, between 2020 and 2026, the discipline underwent a significant transformation that redefined its boundaries.
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Conclusion & Impact:The findings reveal that generative artificial intelligence (AI) became a major turning point in graphic design discourse after 2022, giving rise to a new design ecosystem that connects areas such as brand identity, user experience (UX), motion graphics, design systems, typography, education, and design workflows.
🔬Design:Araştırma Makalesi
📍Scope:2020 Verileri
⚙️Variables:grafik tasarım · tasarım söylemi · üretken yapay zekâ

Abstract

Graphic design has long been defined through object-centered visual products such as posters, logos, books, and packaging. However, between 2020 and 2026, the discipline underwent a significant transformation that redefined its boundaries. This study investigates this transformation by analyzing 4,396 editorial contents collected from 66 international sources, including design media, software developers’ blogs, brand publications, user experience (UX) platforms, and artificial intelligence laboratories. The dataset was examined using multi-label thematic coding, temporal trend analysis, co-occurrence analysis, and a source ecology approach. The findings reveal that generative artificial intelligence (AI) became a major turning point in graphic design discourse after 2022, giving rise to a new design ecosystem that connects areas such as brand identity, user experience (UX), motion graphics, design systems, typography, education, and design workflows. During the same period, the source network expanded considerably, growing from seven active sources in 2020 to forty-five in 2026. Nevertheless, the geographical and institutional distribution of AI-related discourse remains uneven, with the transformation being driven primarily by U.S.-based companies and research laboratories. Additional analyses indicate that although the overall volume of publications continued to increase throughout 2026, the proportion of AI-focused content declined. This suggests that AI has evolved from an emerging innovation into an established component of contemporary graphic design practice. Overall, the study demonstrates that computational content analysis provides a reliable and scalable approach for examining large-scale transformations within the field of graphic design.

Özet

Grafik tasarım uzun yıllar afiş, logo, kitap ve ambalaj gibi nesne merkezli görsel ürünler üzerinden tanımlanmış; ancak 2020–2026 döneminde disiplinin sınırlarını yeniden şekillendiren önemli bir dönüşüm yaşanmıştır. Bu çalışma, söz konusu dönüşümü ortaya koymak amacıyla uluslararası tasarım medyası, araç geliştiricilerinin blogları, marka yayınları, kullanıcı deneyimi (UX) platformları ve yapay zekâ laboratuvarları dâhil olmak üzere 66 kaynaktan derlenen 4.396 editoryal içeriği çok etiketli tematik kodlama, zamansal eğilim analizi, eş-görünüm analizi ve kaynak ekolojisi yaklaşımıyla incelemektedir. Bulgular, üretken yapay zekânın 2022 sonrasında grafik tasarım söyleminde belirgin bir kırılma yarattığını ve marka kimliği, kullanıcı deneyimi (UX), hareketli grafik, tasarım sistemleri, tipografi, eğitim ve iş akışı gibi alanları birbirine bağlayan yeni bir tasarım ekosistemi oluşturduğunu göstermektedir. Aynı dönemde kaynak ağı da önemli ölçüde genişlemiş; 2020'de yedi kaynaktan oluşan yapı, 2026'da kırk beş kaynağa ulaşmıştır. Bununla birlikte, yapay zekâ söyleminin coğrafi ve kurumsal dağılımı dengeli değildir; dönüşüme ağırlıklı olarak ABD merkezli şirketler ve araştırma laboratuvarları yön vermektedir. Ek analizler, 2026 yılında yayın sayısı artmasına rağmen yapay zekâ odaklı içeriklerin oransal olarak azaldığını göstermektedir. Bu durum, yapay zekânın olağanüstü bir yenilik olmaktan çıkarak grafik tasarım pratiğinin yerleşik bir bileşeni hâline geldiğine işaret etmektedir. Sonuç olarak çalışma, hesaplamalı içerik analizinin grafik tasarım disiplinindeki güncel dönüşümleri geniş ölçekli veri üzerinden incelemek için güvenilir ve ölçeklenebilir bir araştırma yaklaşımı sunduğunu ortaya koymaktadır.

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Cite This Article

Aşkın, O. (2026). The Expanding Ecosystem of Graphic Design: A Computational Content Analysis of International Design Platforms (2020–2026). IDEART Uluslararası Tasarım ve Sanat Dergisi, Cilt: 4 Sayı: 1. https://doi.org/10.67395/ideart.1996678

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References (82)

  1. Ahmed, N., Shahbaz, M., Khalil, H. S. U. R., Javed, Z., Khalid, M. A., Khan, F. A., & Maroof, Z. (2025). The synergy of low-code/no-code and AI/ML: Enhancing intelligent automation. World Journal of Engineering and Technology, 13(4), 754–763. https://doi.org/10.4236/wjet.2025.134048
  2. Alkhateeb, S. S., Almomani, I. G., Altaweel, E. M., Aloqaily, A., & Alhaija, S. S. A. (2026). Artificial intelligence and graphic design: Transformations, challenges, and future job trends. Journal of Cultural Analysis and Social Change, 11(1), 1990–1996. https://doi.org/10.64753/jcasc.v11i1.4219
  3. AlObaydi, B. A. A., Alqudah, D., Abukeshek, M. K., Ibrahim, L. I., & Hamed, A. K. M. (2025). AI-driven tools and their impact on creativity in graphic design. Journal of Cultural Analysis and Social Change, 10(3), 89–96. https://doi.org/10.64753/jcasc.v10i3.2383
  4. Alotaibi, N. (2025). The future of graphic design in the age of generative AI: Its impact on creativity and industry. Journal of the Faculty of Education, Tafahna Al-Ashraf, 132–163. https://doi.org/10.21608/jfst.2025.431299
  5. Apalkova, S., & Bokarieva, Y. (2025). Integration of artificial intelligence into graphic design processes. In Innovations in publishing, printing and multimedia technologies (pp. 30–35). Kaunas Kolegija. https://doi.org/10.59476/ilpmt2025.30-35
  6. Armstrong, H. (Ed.). (2009). Graphic design theory: Readings from the field. Princeton Architectural Press.
  7. Bashkirtseva, A., & Nurkusheva, L. (2025). Urovni vliyaniya tekhnologiy iskusstvennogo intellekta na graficheskiy dizayn reklamnykh materialov [The levels of impact of artificial intelligence technologies on graphic design of advertising materials]. ATU Design Science, 5(4), 25–32. https://doi.org/10.63464/3079-3394-2025-4-25-32
  8. Bollini, L. (2024). (What if) artificial intelligence runs the class? Open questions on teaching communication design in the age of generative algorithms. In INTED2024 proceedings (p. 5427). IATED. https://doi.org/10.21125/inted.2024.1401
  9. Darbisheva, B. (2025). From 2D grids to 3D environments: A framework for transitioning product design patterns into spatial computing. IRE Journals, 9(4), 2091–2097. https://doi.org/10.64388/IREV9I4-1714368
  10. Das, S., & Rani, P. (2024). Revolutionizing graphic design: The synergy of AI tools and human creativity. ShodhKosh: Journal of Visual and Performing Arts, 5(2), 372–380. https://doi.org/10.29121/shodhkosh.v5.i2.2024.1393
  11. Daviet, R., & Nishimura, Y. (2026). Leveraging generative artificial intelligence to create visual content in digital advertising. Marketing Science. Advance online publication. https://doi.org/10.1287/mksc.2024.1130
  12. Dedijer, S., Kasikovic, N., Pal, M., Juric, I., Pavlovic, Z., Petrovic, S., & Golubovic, G. (2025). Ethical dimensions of artificial intelligence in graphic design: Challenges, opportunities, and the future of creative practice. In Innovations in publishing, printing and multimedia technologies (pp. 5–14). Kaunas Kolegija. https://doi.org/10.59476/ilpmt2025.5-14
  13. Dhenia, R. N. K., & Kanani, I. J. (2020). Data visualization best practices: Enhancing comprehension and decision-making with effective visual analytics. International Journal of Science and Research, 9(8), 1620–1624. https://doi.org/10.21275/MS2008135218
  14. Di Dio, S., Inzerillo, B., Monterosso, F., Morvillo, S., & Russo, D. (2024). Artificial intelligence and design: Innovation, practical applications, and future creative horizons. In T. Ahram & W. Karwowski (Eds.), Human factors in design, engineering, and computing (AHFE Open Access, Vol. 159). AHFE International. https://doi.org/10.54941/ahfe1005566
  15. Dong, N., & Livitska, N. (2026). Pedagogical features of training graphic design bachelors for professional activity in the digital age. Humanitarian Studies: History and Pedagogy, (1), 187–202. https://doi.org/10.35774/gsip2026.01.187
  16. Drucker, J., & McVarish, E. (2013). Graphic design history: A critical guide (2nd ed.). Pearson.
  17. Edelberg, J., & Kilrain, J. (2020). Design systems: Consistency, efficiency & collaboration in creating digital products. In Proceedings of the 38th ACM International Conference on Design of Communication (SIGDOC ’20) (pp. 1–3). Association for Computing Machinery. https://doi.org/10.1145/3380851.3416743
  18. Eskilson, S. J. (2019). Graphic design: A new history (3rd ed.). Yale University Press.
  19. Fekete, B. (2022). Digital dynamic visual identities: Prospects at the frontiers of marketing and design. Vezetéstudomány / Budapest Management Review, 53(11), 43–54. https://doi.org/10.14267/VEZTUD.2022.11.04
  20. Feshchuk, Y. (2025). Digital transformation of graphic training in vocational education of technology teachers. Zhytomyr Ivan Franko State University Journal. Pedagogical Sciences, 3(122). http://pedagogy.visnyk.zu.edu.ua/article/view/348354
  21. Ganesh, G., Ambekar, S., Singh, A. K., Das, A. K., & Sanchihar, M. (2025). Investigating the transformative role of artificial intelligence in enhancing creativity and efficiency across the graphic design process. In 2025 World Skills Conferenceon Universal Data Analytics and Sciences (WorldSUAS) (pp. 1–6). IEEE. https://doi.org/10.1109/WorldSUAS66815.2025.11199047
  22. Gangishetti, S., & Singireddy, M. (2025). Measuring the impact of design systems on frontend delivery speed, defect rates, and team alignment. International Journal of Emerging Trends in Computer Science and Information Technology, 6(1), 178–183. https://doi.org/10.63282/3050-9246.IJETCSIT-V6I1P121
  23. Gerenko, S. (2024). Artificial intelligence in graphic design: The case of generative neural networks. Demiurge: Ideas, Technologies, Perspectives of Design, 7(1), 78–91. https://doi.org/10.31866/2617-7951.7.1.2024.300924
  24. Grimmer, J., & Stewart, B. M. (2013). Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis, 21(3), 267–297. https://doi.org/10.1093/pan/mps028
  25. Hassan, M. (2025). The role of motion graphics and visual design styles in dynamic branding. International Design Journal, 15(5), 77–82. https://doi.org/10.21608/idj.2025.389690.1341
  26. Indrawati, D., Amanina, N. A., & Maulida, L. (2025). AI-augmented branding: Exploring the impact of generative design tools on visual identity development in the creative industry. International Journal of Graphic Design, 3(2), 192–212. https://doi.org/10.51903/ijgd.v3i2.2766
  27. Javaid, Z. (2025). When UX meets machine logic: The role of AI in digital design. International Journal of Engineering and Computer Science, 14(6), 27398–27408. https://ijecs.in/index.php/ijecs/article/view/5175
  28. Jekova, J. (2025). Structural and visual aspects of contemporary typography—From handwritten calligraphy to digitalization and creation of dynamic variable fonts. In Studies in humanities and social sciences: Proceedings of the 11th International e-Conference (11IeCSHSS). Center for Open Access in Science. https://centerprode.com/conferences/11IeCSHSS/11IeCSHSS.pdf
  29. Julier, G. (2017). Economies of design. SAGE Publications.
  30. Kacheru, G., Arthan, N., & Bajjuru, R. (2025). Artificial intelligence (AI) for low-code and no-code development: Making non-developers developers in 2024. Formosa Journal of Multidisciplinary Research, 4(1), 141–150. https://doi.org/10.55927/fjmr.v4i1.13369
  31. Kalving, M., Colley, A., & Häkkilä, J. (2024). Where AI and design meet—Designers’ perceptions of AI tools. In NordiCHI ’24: Proceedings of the 13th Nordic Conference on Human-Computer Interaction (Article 52, pp. 1–8). Association for Computing Machinery. https://doi.org/10.1145/3679318.3685388
  32. Kang, B., & Shen, Y. (2025). Brand identity design with generative AI: Between automation and authorship. In C.-Y. Chang & Y. Hsu (Eds.), IASDR 2025: Design NEXT. Design Research Society. https://doi.org/10.21606/iasdr.2025.1219
  33. Kharadi, M., Sagar, V., Bhanot, D., Soumya, S., Smitha, K., Singh, S., & Bayas, V. S. (2025). AI-powered graphic design tools: A paradigm shift in art curriculum. ShodhKosh: Journal of Visual and Performing Arts, 6(4s), 299–308. https://doi.org/10.29121/shodhkosh.v6.i4s.2025.6855
  34. Kholmatova, A. (2017). Design systems: A practical guide to creating design languages for digital products. Smashing Media AG.
  35. Klementis, M., Jurisova, V., & Nagyova, N. (2024). Design “made by human” in the world of AI: An analysis of the impact of artificial intelligence on graphic design and the role of humans in the creative process. In M.
  36. Hossova, M. Solik, & M. Martovic (Eds.), Marketing identity: Human vs. artificial (pp. 332–338). University of Ss. Cyril and Methodius in Trnava. https://doi.org/10.34135/mmidentity-2024-34
  37. Kostenko, I. (2025). Variable fonts and kinetic typography in the web environment. Theory and Practice of Design, (36), 260–267. https://doi.org/10.32782/2415-8151.2025.36.24
  38. Kosuru, P. (2022). Design systems for scalable digital applications: A framework for consistency and efficiency. Journal of Mathematical & Computer Applications, 1(3), Article e131. https://doi.org/10.47363/jmca/2022(1)e131
  39. Kravchenko, M., Lashko, I., & Oborska, S. (2026). Artificial intelligence in design education: Changing the role of the creative subject. Humanities Science Current Issues, 2(97), 96–102. https://doi.org/10.24919/2308-4863/97-2-13
  40. Kumar, U. V. S. (2025). Low-code and no-code development: The future of application design. International Journal of Science and Research, 14(7), 53–59. https://doi.org/10.21275/SR25628162634
  41. Laidler, P. (2018). Mapping post-digital practice in the graphic arts. Printmaking Today, 27(106), 15. Le, V. T., & Chu, T. K. D. (2026). Đồ họa động—Xu hướng thiết kế của kỷ nguyên số [Motion graphics—A design trend of the digital era]. Journal of Science and Technology of East Asia University of Technology, 1(2), 3–12. https://doi.org/10.65153/j2s3nq16
  42. Li, H., Xue, T., Zhang, A., Luo, X., Kong, L., & Huang, G. (2024). The application and impact of artificial intelligence technology in graphic design: A critical interpretive synthesis. Heliyon, 10(21), Article e40037. https://doi.org/10.1016/j.heliyon.2024.e40037
  43. Li, J. (2026). The impact of generative AI on visual identity system formation in early-stage brands. Contemporary Design Research, 2(1). https://doi.org/10.71411/cds-2026-v2i1-1333
  44. Liu, Z., Meng, Y., Ouyang, H., Yu, Y., Zhao, B., Cohen-Or, D., & Qu, H. (2025). Dynamic typography: Bringing text to life via video diffusion prior. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2025). IEEE. https://openaccess.thecvf.com/content/ICCV2025/html/Liu_Dynamic_Typography_Bringing_Text_to_Life_via_Video_Diffusion_Prior_ICCV_2025_paper.html
  45. Lu, P., & Yao, W. (2025). Research on innovation of graphic design assisted by artificial intelligence. Journal of Big Data and Computing, 3(3), 1–5. https://doi.org/10.62517/jbdc.202501301
  46. Macdonald, I. (2016). Hybrid practices in moving image design: Methods of heritage and digital production in motion graphics. Palgrave Macmillan.
  47. Maeda, J. (2002). Design education in the post-digital age. Design Management Journal (Former Series), 13(3), 39–45. https://doi.org/10.1111/j.1948-7169.2002.tb00317.x
  48. Manovich, L. (2013). Software takes command. Bloomsbury Academic.
  49. McLeena, M., & Laura, J. (2026). The role of AI-driven generative design in enhancing visual communication: A computational creativity approach. International Journal of Graphic Design, 4(1), 105–122. https://doi.org/10.51903/ijgd.v4i1.2350
  50. Meggs, P. B., & Purvis, A. W. (2016). Meggs’ history of graphic design (6th ed.). Wiley.
  51. Mohamed, E. A. S., Ali, M. A. O., & Mohamed, M. H. A. (2023). The communicative dimension of graphic design elements—Such as infographics. Brazilian Journal of Science, 2(7), 84–91. https://doi.org/10.14295/bjs.v2i7.283
  52. Mohammed, N. J. (2022). Graphic design in the age of digital transformation. RIMAK International Journal of Humanities and Social Sciences, 4(1), Article 15. https://doi.org/10.47832/2717-8293.15.30
  53. Nair, S. S., & Babu, S. (2025). AI-driven transformation in graphic design: Navigating the nexus of creativity, productivity, and autonomy. In 2025 12th International Conferenceon Computing for Sustainable Global Development (INDIACom) (pp. 1–6). IEEE. https://doi.org/10.23919/INDIACom66777.2025.11115468
  54. Narcisse, D., & Kang, M. (2025). Reshaping creative workspaces: Leveraging the transformative power of spatial computing to redefine workspaces in the design process. In Proceedings of the International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International. https://openaccess.cms-conferences.org/publications/book/978-1-964867-59-5/article/978-1-964867-59-5_14
  55. Nielsen, M., Vistisen, P., Inie, N., & Biskjaer, M. (2026). Exploring current understandings of ‘design systems’: Toward a conceptual framework. In DRS2026: Edinburgh. Design Research Society. https://doi.org/10.21606/drs.2026.1307
  56. Nimje, P. (2024). The rise of low-code/no-code development platforms. International Journal of Advanced Research in Science, Communication and Technology, 4(3), 650–653. https://doi.org/10.48175/IJARSCT-18974
  57. Nirmala, J., Raja, R. R., & Kanchana, M. (2024). Transforming graphic design—The impact of augmented and virtual reality on user interaction, security, and product packaging optimization. In GRID 2024: Proceedings of the 12th International Symposium on Graphic Engineering and Design. https://doi.org/10.24867/GRID-2024-p19
  58. Nogueira, M. R. (2026). Teaching digital design in an AI-driven era: Exploring curriculum, pedagogy, and student perspectives. Discover Artificial Intelligence, 6(1). https://doi.org/10.1007/s44163-026-01135-0
  59. Norman, D. A. (2013). The design of everyday things (Revised and expanded ed.). Basic Books. Pacheco, J., Garbatov, S., & Goulao, M. (2021). Improving collaboration efficiency between UX/UI designers and developers in a low-code platform. In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (pp. 138–147). IEEE. https://doi.org/10.1109/MODELS-C53483.2021.00025
  60. Palani, S., & Ramos, G. (2024). Evolving roles and workflows of creative practitioners in the age of generative AI. In Proceedings of the 16th Conference on Creativity & Cognition (C&C ’24) (pp. 170–184). Association for Computing Machinery. https://doi.org/10.1145/3635636.3656190
  61. Peddisetty, N. (2025). Enhancing digital products: A deep dive into UI/UX design. International Journal of Multidisciplinary Research and Growth Evaluation, 6(1), 2067–2070. https://doi.org/10.54660/.IJMRGE.2025.6.1.2067-2070
  62. Pushparani, M. K., Katagi, B., Jain, N. G. S., Sudeep, P. M., & Varun, S. (2025). A review paper on UI/UX design in the digital era: Trends, challenges, and educational gaps. International Research Journal on Advanced Engineering Hub, 3(5), 2341–2346. https://doi.org/10.47392/IRJAEH.2025.0346
  63. Quyen, T. T. L., Liou, S., & Yang, C. H. (2024). Teaching graphic design for undergraduate students in Vietnam: A curriculum analysis. Frontiers in Education, 9, Article 1354438. https://doi.org/10.3389/feduc.2024.1354438 Ranoya, G., & Andrade, R. C. (2024). Origins of information visualization in corporate bullet points: An archaeology of the graphic configuration paradigm in data visualizations (1979–1995). InfoDesign — Revista Brasileira de Design da Informação, 21(2). https://doi.org/10.51358/id.v21i2.1161
  64. Rose, E. J., Macdonald, C., & Putnam, C. (2023). Design systems: A scalable model for teaching design systems for UX. In EduCHI ’23: Proceedings of the 5th Annual Symposium on HCI Education (pp. 5–7). Association for Computing Machinery. https://doi.org/10.1145/3587399.3587403
  65. Saudi, Y. (2026). Transformation of conventional graphic design in the era of artificial intelligence. Al-I’lam: Jurnal Komunikasi dan Penyiaran Islam, 9(2), 29–34. https://doi.org/10.31764/jail.v9i2.38943
  66. Scherling, L. (2020). Learning during a digital transformation in communication design: Faculty, professional, and student views on changing pedagogical practices [Doctoral dissertation, Teachers College, Columbia University]. Columbia Academic Commons. https://doi.org/10.7916/d8-vyya-d218
  67. Sezer, N. (2020). Dijitalleşme ile değişen hareketli grafik tasarım teknikleri [Motion graphic design techniques changing with digitalization]. Kesit Akademi Dergisi, 6(24), 78–88. https://doi.org/10.29228/kesit.45945
  68. Sha, L. (2024). Algorithm-driven brand design strategy and implementation path research. In 2024 International Conference on Computers, Information Processing and Advanced Education (CIPAE) (pp. 436–441). IEEE. https://doi.org/10.1109/CIPAE64326.2024.00085
  69. Shen, Y. (2018). Placing graphic design at the intersection of information visualization fields. Digital Humanities Quarterly, 12(4). https://doi.org/10.63744/kj9pu4rhk9a7
  70. Tang, Y., Ciancia, M., Wang, Z., & Gao, Z. (2024). What’s next? Exploring utilization, challenges, and future directions of AI-generated image tools in graphic design. arXiv. https://doi.org/10.48550/arXiv.2406.13436 Thottingal, S. (2025). Parametric type design in the era of variable and color fonts. arXiv. https://doi.org/10.48550/arXiv.2502.07386
  71. Tripathi, S. (2026). Artificial intelligence & graphic design: Threat or opportunity. Advanced International Journal for Research, 7(1), 1–5. https://doi.org/10.63363/aijfr.2026.v07i01.2882
  72. Tsidylo, I. (2025). Integration of generative artificial intelligence into the educational process of training graphic designers. Humanitarian Studies: History and Pedagogy, (2), 306–314. https://doi.org/10.35774/gsip2025.02.306
  73. van der Burg, V., Akdag Salah, A. A., Chandrasegaran, S., & Lloyd, P. (2022). Ceci n’est pas une chaise: Emerging practices in designer-AI collaboration. In D. Lockton, S. Lenzi, P. Hekkert, A. Oak, J. Sadaba, & P. Lloyd (Eds.), DRS2022: Bilbao. Design Research Society. https://doi.org/10.21606/drs.2022.653
  74. Vanhauer, M., & Raimer, S. (2024). Challenges and opportunities of low-code Figma and Modul-F for use within the public sector. In T. Ahram & C. Falcao (Eds.), Usability and user experience (AHFE Open Access, Vol. 156). AHFE International. https://doi.org/10.54941/ahfe1005443
  75. Vesselov, S., & Davis, T. (2019). The rise of design systems. In Building design systems: Unify user experiences through a shared design language (pp. 1–10). Apress. https://doi.org/10.1007/978-1-4842-4514-9_1
  76. Wang, Y. (2025). Data visualization design: Strategies for optimizing information delivery and decision support. Education, Language and Sociology Research, 6(2). https://www.scholink.org/ojs/index.php/elsr/article/view/56128
  77. Wang, Y., Cheng, L., Lu, F., Zeng, A., & Lu, L. (2024). AI empowers graphic design education: Innovation and breakthrough. IC-ITECHS, 5(1), 836–840. https://doi.org/10.32664/ic-itechs.v5i1.1647
  78. Wen, Y., Li, D., & Chen, K. (2025). Research on methods and practices of AIGC-empowered intelligent design for brand visual identity. In 2025 6th International Conferenceon Intelligent Design (ICID) (pp. 13–18). IEEE. https://doi.org/10.1109/ICID67979.2025.11351473
  79. Yu, W. F. (2025). AI as a co-creator and a design material: Transforming the design process. Design Studies, 97, Article 101303. https://doi.org/10.1016/j.destud.2025.101303
  80. Zhang, R., & Sung, S. (2025). Designers as co-creators: Reconfiguring workflows and creative agency in AI-augmented design. Proceedings of the Association for Information Science and Technology, 62(1), 1743–1746. https://doi.org/10.1002/pra2.1528
  81. Zhong, G. (2026). Brand image design based on parametric visual communication design. In Third International Conference on Big Data, Computational Intelligence, and Applications (BDCIA 2025) (Article 180). SPIE. https://doi.org/10.1117/12.3106603
  82. Ziyang, Z., Abidin, S. Z., & Shaari, N. (2024). Motion graphics in visual communication: Unveiling creative strategies in contemporary digital design. Asian Journal of Research in Education and Social Sciences, 6(2), 781–790. https://myjms.mohe.gov.my/index.php/ajress/article/view/27317