Redesigning Municipality Logos in the Context of Visual Reading Using Artificial Intelligence

Abstract

The intensive use of technology in the way of business brings about different applications and usage areas. Artificial intelligence, on the other hand, reveals the last point that technology has reached and expands its usage area daily. Every example of artificial intelligence, which we can define as computer software that emerged to realise human abilities such as thinking, evaluation, problem solving by taking people out of the game or minimising their impact in jobs that technically require human elements, is surprising, and the point it will reach cannot be fully predicted. In this study, it is aimed to analyse the logos of institutions/organisations as their windows to the outside world and the first element that welcomes the audience by using visual reading and redrawing them using three artificial intelligence applications (Midjourney, Stable Diffusion and DALL-E 2). For this purpose, the logos of the 11 municipalities in the Marmara region were included in the scope of this study. When the results were evaluated, it was observed that the new visuals were quite successful. The visual meanings of the original logo were largely included in the new logo. Colours were also used in the new logos in a very close fashion to the original. The Midjourney AI application produced more effective drawings than the other two applications. On the other hand, it was observed that the elements of local culture were excluded from the drawings of the three AI tools.

Keywords

• Artificial intelligence
• visual reading
• logo
• visual design
• artificial intelligence-design

References

1. Abduljawad, M., & Alsalmani, A. (2022). Towards Creating Exotic Remote Sensing Datasets using Image Generating AI. International Confer-ence on Electrical and Computing Technologies and Applications (ICECTA), 84-88. https://doi.org/ 10.1109/ICECTA57148.2022.9990245 google scholar
2. Alawadhi, A. M. & Yousef, D. M. (2023). Revolutionizing Plastic Furniture Design: Harnessing the Power of Artificial Intelligence. Arab International Journal of Information Technology & Data, 3(4), 7-46. https://doi.org/10.21608/AIJTID.2023.220627.1063 google scholar
3. Al-Qatry, D., A. Q., & Rady, A. J. A. (2023). A comparative analytical study of the use of artificial intelligence (AI) tools in generating various designs for women’s clothing. International Design Journal, 13(2), 363-380. https://doi.org/10.21608/IDJ.2023.288429 google scholar
4. Ba, Z., Zhong, J., Lei, J., Cheng, P., Wang, Q., Qin, Z. Wang, Z., & Ren, K. (2022). SurrogatePrompt: Bypassing the Safety Filter of Text-To-Image Models via Substitution. https://doi.org/10.48550/arXiv.2309.14122 google scholar
5. Bao, Y., & Xiang, C. (2023). Exploration of Conceptual Design Generation based on the Deep Learning Model- Discussing the Application of AI Generator to the Preliminary Architectural Design Process. xArch symposium-Creativity in the age of digital reproduction, 1-7. google scholar
6. Baş, B., & Örs, E. (2015). A Study on Visual Reading Skills of First Grade Students at Primary School. Journal of Theory and Practice in Education, 11(1), 225-244. https://doi.org/10.17244/eku.36093 google scholar
7. Bayırlı, Ü., & Kılıç, E. C. (2022). Türkiye’deki Üniversitelerin Amblem ve Logolarının Şekil, Renk ve Bağlam Açısından İncelenmesi. Sanat&Tasarım Dergisi, 12(2), 425-446. https://doi.org/10.20488/sanattasarim.1221731 google scholar
8. Borji, A. (2022). Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2. arXiv, Oct. 02, 2022. https://doi.org/ 10.48550/arXiv.2210.00586. google scholar

9. Büyüktopbaş, H., & Uçar, T. F. (2021). Görsel Okuma ve Tipografik Açılımları. Sanat & Tasarım Dergisi, 11(1), 158-175. https://doi.org/10.20488/sanattasarim.971055 google scholar
10. Çeken, B., & Şen, O. (2023). Grafik Tasarım Sektöründe Yapay Zekanın Kullanılması (Midjourney). 1st International Conference on Contem-porary Academic Research, 138-145. https://doi.org/10.59287/iccar.767 google scholar
11. Çelik, T. (2023). Generative design experiments with artificial intelligence: reinterpretation of shape grammar. Open House International, 30(1), 1-21. https://doi.org/10.1108/OHI-04-2023-0079 google scholar
12. Chen, H. C., & Chen, Z. (2023). Using ChatGPT and Midjourney to Generate Chinese Landscape Painting of Tang Poem ‘The Difficult Road to Shu’. International Journal of Social Sciences and Artistic Innovations, 2(3), 1-10. https://doi.org/10.35745/ijssai2023v03.02.0001 google scholar
13. Chen, H. C., & Kao, Y. F. (2022). Mirroring Reality: Surreal Tourist Gaze of Chinese Landscape Painting by Artificial Neural Networks. 5th International Conference on Knowledge Innovation and Invention (ICKII), 155-159. https://doi.org/10.1109/ICKII55100.2022.9983554 google scholar
14. Dehouche, N., & Dehouche, K. (2023). What’s in a text-to-image prompt? The potential of stable diffusion in visual arts education. Heliyon, 9, 1-12. https://doi.org/10.1016/j.heliyon.2023.e16757 google scholar
15. Demir, Ş. Ş., & Tür, E. (2019). Otel logosu ne söyle? Tüketiciler ne algılar? Journal of Tourism Theory and Research, 5(1), 51-64. https://dx.doi.org/10.24288/jttr.510437 google scholar
16. Efe, A., & Tunçbilek, M. (2023). Yapay Zeka Algoritmaları ile Dönüşen Denetim Araçları Üzerine Bir Değerlendirme, Denetişim, 14(27), 72-102. https://doi.org/10.58348/denetisim.1195294 google scholar
17. Erdem, G., Ermiş, Y., & Özkan, D. (2023). Yapay Zekâ ile Entegre Ultrasonografi Cihazı Kullanımının Periferik Sinir Bloğu Uygulamalarında Enjeksiyon Alanını Görüntülemeye Olan Etkisi. JARSS, 31(1), 21-27. https://doi.org/10.54875/jarss.2023.24381 google scholar
18. Fahim, J. Y. (2023). Cross-Cultural Differences in Product Marketing. IPHS 300 AI for Humanity. google scholar
19. Göçer, A., & Tabak, G. (2012). Analysis of the 5th Grade Students’ Turkish Workbooks in terms of Visual Reading Activities. Elementary Education Online, 11(3), 790-799. Retrieved from https://dergipark.org.tr/en/download/article-file/90568 google scholar
20. Görgülü, Y. (2019). Kentlerin Markalaşması Sürecinde Logoların Kimlik İnşası: (Antalya Örneği) Göstergebilimsel Bir Çözümleme. Elektronik Cumhuriyet İletişim Dergisi, 1(3), 65-83. Retrieved from http://ecider.cumhuriyet.edu.tr/tr/pub/issue/51555/645037 google scholar
21. Göring, S., Rao, R. R. R., Merten, R., & Raake, A. (2023a). Analysis of Appeal for Realistic AI-Generated Photos. IEEE Access, 11, 38999-39012. https://doi.org/10.1109/ACCESS.2023.3267968 google scholar
22. Göring, S., Rao, R. R. R., Merten, R., & Raake, A. (2023b). Appeal and quality assessment for AI-generated images. 15th International Conference on Quality of Multimedia Experience (QoMEX),115-118. https://doi.org/10.1109/QOMEX58391.2023.10178486 google scholar
23. Güven, M., & Aktaş, B. (2013). Eleştirel okuma ve görsel okuma arasındaki ilişki. International Journal of Curriculum and Instructional Studies, 3(6), 31-45. Retrieved from https://ijocis.com/index.php/ijocis/article/download/89/77 google scholar
24. Hakimshafaei, M. (2023). Survey of Generative AI in Architecture and Design. University of California Santa Cruz Master Theisis. Retrieved from https://escholarship.org/uc/item/47x6k9j8 google scholar
25. Hanna, D. M. (2022). The Use of Artificial Intelligence Art Generator “Midjourney” in Artistic and Advertising Creativity. Journal of Design Sciences and Applied Arts, 4(2), 42-58. https://doi.org/10.21608/jdsaa.2023.169144.1231 google scholar
26. Hariffadzillah, T. S. N. T., Fadil, M. Z. M., Harun, A., Ayob, M. A., & Razak, M. R. A. (2023). Exploring Ai Technology To Cre-ate Children’s Illustrated Storybook. 4th International Conference on Artificial Intelligence and Data Sciences (AiDAS), 224-228. https://doi.org/10.1109/AIDAS60501.2023.10284665 google scholar
27. Huang, A., Chao, Y., de la Mora Velasco, E., Bilgihan, A., & Wei, W. (2022). When Artificial Intelligence Meets the Hospitality and Tourism Industry: An Assessment Framework to Inform Theory and Management. Journal of Hospitality and Tourism Insights, 5(5), 1080-1100. https://dx.doi.org/10.1108/JHTI-01-2021-0021 google scholar
28. Karsak, B. B. (2009). Logo Değişiminin Kurumsal Kimlik ve Kurumsal İmajla Bağlantısı: Unilever Örneği. Marmara İletişim Dergisi, 15, 113-120. Retrieved from https://dergipark.org.tr/tr/pub/maruid/issue/25255/266984 google scholar
29. Kaya, M. F. (2012). The determination of the in-class applications of visual literacy and problems faced during these applications with regard to the views of Turkish classroom teachers. Procedia Social and Behavioral Sciencesi, 46, 2205-2209. https://doi.org/10.1016/j.sbspro.2012.05.455 google scholar
30. King, M. (2022). Harmful biases in artificial intelligence. Lancet Psychiatry, 9(11), 48-48. https://doi.org/10.1016/S2215-0366(22)00312-1 google scholar
31. Lu, R. T. E. (2023). Sentiments Re-Imaged by AI. New York University Tandon Scholl of Engineering Master Theisis. Retrieved from https://www.proquest.com/dissertations-theses/sentiments-re-imaged-ai/docview/2819976188/se-2 google scholar
32. Nistler, J., & Pojeta, T. (2023). Graphical use of AI. VTEI, 4, 1-3. Retrieved from https://www.vtei.cz/en/2023/08/graphical-use-of-ai/ google scholar
33. Onan, B. (2012). Türkçenin Ana Dili Olarak Öğretiminde Bilgi İşleme Süreci, Mersin Üniversitesi Eğitim Fakültesi Dergisi, 8(1), 96-113. https://doi.org/10.17860/efd.44365 google scholar
34. Özdemir, N., & Erdem, İ. (2011). Türkçe Öğretmeni Adaylarının Yazma Alışkanlıklarının Bazı Değişkenler Açısından İncelenmesi. Uşak Üniversitesi Sosyal Bilimler Dergisi, 4(2), 101-125. https://doi.org/10.12780/UUSBD103 google scholar
35. Ploennings, J., & Berger, M. (2023). AI art in architecture. Ploennigs and Berger AI in Civil Engineering, 2(8), 1-11. https://doi.org/10.1007/s43503-023-00018-y google scholar
36. Radhakrishnan, M. (2023). Is Midjourney-Ai the New Anti-Hero of Architectural Imagery & Creativity?, Global Scientificy Journals, 11(1), 94-104. Retrieved from https://www.globalscientificjournal.com/journal_volume11_issue1_January_2023_edition.html google scholar
37. Rozdolska, A. J. (2022). Artificial intelligence as part of future practices in the architect’s work: MidJourney generative tool as part of a process of creating an architectural form. Architectus, 3(71), 95-104. https://doi.org/10.37190/arc220310 google scholar
38. Sanchez, C. D., & Heras, D. C. (2023). Use of Open Access AI in teaching classical antiquity. A methodological proposal. The Journal of Classics Teaching, 1-5. https://doi.org/10.1017/S2058631023000739 google scholar
39. Sarıkaya, B. (2017). Türkçe Öğretiminde Görsel Okuma. Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 5(3), 779-796. https://doi.org/10.18506/anemon.298912 google scholar
40. Sevildi, İ. (2014). Tipografi ve Logo Tasarımındaki Önemi. [Yayımlanmamış yüksek lisans tezi]. İstanbul Arel Üniversitesi. https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp google scholar
41. Shuhan, S., Yeutong, C., & Mai, Y. (2023). Measuring designers use of Midjourney on the technology acceptance model. International Association of Societies of Design Research Congress, 1-8. https://doi.org/10.21606/iasdr.2023.794 google scholar
42. Stokes, S. (2005). Visual Literacy in Teaching and Learning: A Literature Perspective. Elec-tronic Journal for the Integration of Technology in Education, 1(1),10-18. Retrieved from google scholar
43. https://www.researchgate.net/publication/252798531_Visual_Literacy_in_Teaching_and_Learning_A_Literature_Perspective google scholar
44. Taecharungroj, V., & Kompaniets, R. O. (2023). Exploring place experiences and AI-generated logos for Nordic city branding. 7th Annual International Place Branding Association (IPBA) Conference, 62-62. google scholar
45. Tanughara, S. (2023). Review Using Artificial Intelligence-Generating Images: Exploring Material Ideas from MidJourney to Improve Vernacular Designs, Journal of Artificial Intelligence in Architecture, 2(1), 48-57. https://doi.org/10.24002/jarina.v2i2.7537 google scholar
46. Tsidylo, I. M., & Sendra, C. E. (2023). Artificial Intelligence as a Methodological Innovation in the Training Of Future Designers: Midjourney Tools. Information Technologies and Learning Tools, 97(5), 203-214. https://doi.org/10.33407/itlt.v97i5.5338 google scholar
47. Turgay, O., Kaptan, M., Erkartal, P. Ö., Demir, T., & Doğukanlı, Ç. (2023). Interdisciplinary Trajectories: Regenerating Barcelona Pavilion With Midjourney Günçe, K. (ed). Interior Architectural Issues Design, Theory & Philosophy, (pp.299-320).Livre de Lyon. google scholar
48. Vartiainen, H., & Tedre, M. (2023). Using artificial intelligence in craft education: crafting withtext-to-image generative models. Digital Creativity, 34(1), 1-21. https://doi.org/10.1080/14626268.2023.2174557 google scholar
49. Wasielewski, A. (2023). “Midjourney Can’t Count”: Questions of Representation and Meaning for Text-to-Image Generators. The Interdisciplinary Journal of Image Sciences, 37(1), 71-82. https://doi.org/10.1453/1614-0885-1-2023-15454 google scholar