Abstract
Yapay zekâ teknolojisi, dijitalleşmeyle birlikte kullanım alanlarını sürekli genişletmektedir. Bilim ve sanat alanlarındaki dijital gelişmelere koşut olarak, tipografik tasarımlarda yapay zekâ kullanımı artmaktadır. Görsel iletişim tasarımcıları, hazır yazı biçemleriyle yetinmeyip, özgün yaklaşımlarla “fontları” dönüştürmektedir. Tipografide seçenekler yaratmak eskiden elle yapılırken, bugün yapay zekâ araçlarıyla da gerçekleştirilebilmektedir. Yapay zekanın avantajı, internetteki verilere erişerek kısa sürede çokça öneri geliştirebilmesidir; dezavantajı ise geliştirilen seçeneklerin özgünlüğü sorunsalıdır. Nitel araştırma yöntemleri ile tipografi ve yapay zekâ bağlamında gerçekleştirilen bu çalışmada; yapay zekâ araçlarıyla yapılan tipografik seçenekleri çeşitli boyutlarıyla araştırmak, olumlu ve olumsuz yönlerini ortaya koymak için örnekler irdeleyerek sorunlarını belirlemek ve konu ile ilgili öneriler geliştirmek amaçlanmaktadır.Yapay zekâ araçlarının en önemli avantajı, kullanıcı tarafından yüklenen bilgi ve komutlara göre internet ortamında bulunan tüm bilgilere/verilere ulaşarak kısa zamanda çokça öneri geliştirebilmesidir. En önemli dezavantajı da geliştirilen seçeneklerin özgünlüğü sorunsalıdır. Nitel araştırma yöntemleri ile tipografi ve yapay zekâ bağlamında gerçekleştirilen bu çalışmada; yapay zekâ araçlarıyla yapılan tipografik seçenekleri çeşitli boyutlarıyla araştırmak, olumlu ve olumsuz yönlerini ortaya koymak için örnekler irdeleyerek sorunlarını belirlemek ve konu ile ilgili öneriler geliştirmek amaçlanmaktadır.
References
- Ambrose, G. ve Harris, P. (2012). Görsel tipografi sözlüğü (1. baskı) (Çev. B. Bayrak). Literatür.
- Ambrose, G. ve Harris, P. (2014). Grafik tasarımda tipografi (1. baskı) (Çev. B. Bayrak). Literatür.
- Ambrose, G. ve Harris, P. (2018). Tipografinin temelleri (2. baskı) (Çev. B. Bayrak). Literatür.
- Choi, S. ve Aizawa, K. (2019). Emotype: Expressing emotions by changing typeface in mobile messenger texting. Multimedia tools and applications, 78, 14155-14172. https://doi.org/10.1007/s11042-018-6753-3
- Desai, C., Pandya, D., Khatri, A. ve Prajapati, N. (2023). Personalized font generation using deep learning neural networks. International journal for research in applied science and engineering technology, 11, 1524-1533. https://doi.org/10.22214/ijraset.2023.54916
- Günay ve Özdemir, (2024). Yapay zekânın grafik tasarım süreçlerine etkisi. Ö. Kum (Ed.), Grafik alanında uluslararası araştırmalar I (1. baskı). (s. 135-157). Eğitim.
- He, J. Y., Cheng, Z. Q., Li, C., Sun, J., He, Q., Xiang, W., Chen, H., Lan J. P., Lin, X., Zhu, K., Luo B., Geng, Y., Xie, X. ve Hauptmann, A. G. (2024). MetaDesigner: Advancing artistic typography through ai-driven, user-centric, and multilingual wordart synthesis. arXiv preprint. https://doi.org/10.48550/arXiv.2406.19859
- Hinton, G. E., Osindero, S. ve Teh, Y. W. (2006). A fast learning algorithm for deep belief nets. Neural computation, 18(7), 1527-1554. https://doi.org/10.1162/neco.2006.18.7.1527
- Hunt, R., (2020). Advanced typography: From knowledge to mastery (1. baskı). Bloomsbury.
- Jean, G. (2023). Yazı insanlığın belleği (11. baskı) (Çev. N. Başer). Yapı Kredi.
- Kavasoğlu, B.R. (2023). Yapay zeka ve görsel tasarım uygulamaları (1. baskı). İksad. https://dx.doi.org/10.5281/zenodo.10441730
- Kurtcu, F. ve Furunci, H. (2024). Yapay zekâ ve tipografi bağlamında değişen süreçler. Rumelide dil ve edebiyat araştırmaları dergisi, 40, 517-531. https://doi.org/10.29000/rumelide.1502212
- LeCun, Y., Bengio, Y. ve Hinton, G. (2015). Deep learning. Nature, 521, 436-444. https://doi.org/10.1038/nature14539
- McLuhan, H. M., (1962). Understanding new media. (Doktora tezi). UMI. https://www.proquest.com/dissertations-theses/understanding-new-media/docview/302118362/se-2
- Nilsson, N. J. (1998). Artificial intelligence: A new synthesis (1. baskı). Elsevier.
- Parente, J., Martins, T., Bicker, J., Hardman, P. D. ve Machado, P. (2020). Working with type: Approaches on generative and evolutionary typographic creation. Conference: Joint proceedings of the ICCC 2020 workshops, (s. 1-10). https://www.researchgate.net/publication/376072482_Working_with_type_Approaches_on_generative_and_evolutionary_typographic_creation
- Ruder, E. (1981). Typographie: A manual of design (1. baskı). Hastings house book.
- Sarıkavak, N. K. (2004). Çağdaş tipografinin temelleri (1. baskı). Seçkin.
- Sayın, Z. (2019). Grafik tasarımda etki (1. baskı). Pegem akademi.
- Shen, J., Jin, K., Zhang, A., Breazeal, C. ve Park, H. W. (2023). Affective typography: The effect of ai-driven font design on empathetic story reading. In extended abstracts of the 2023 chi conference on human factors in computing systems, (s. 1-7). https://doi.org/10.1145/3544549.3585625
- Suryawanshi, R. ve Singh, S. (2024). Artificial intelligence and its applications. International journal of advanced research in science, communication and technology, 4(3), 654-660. https://doi.org/10.48175/ijarsct-18975
- Tanveer, M., Wang, Y., Mahdavi-Amiri, A. ve Zhang, H. (2023). Ds-fusion: Artistic typography via discriminated and stylized diffusion. In proceedings of the IEEE/CVF international conference on computer vision, (s. 374-384).
- Turing, A. M. (2009). Computing machinery and intelligence, 23-65. Springer Netherlands. https://doi.org/10.1007/978-1-4020-6710-5_3
- Zeng, Z., Sun, X. ve Liao, X. (2019). Artificial intelligence augments design creativity: A typeface family design experiment. In design, user experience, and usability. User experience in advanced technological environments: 8th international conference, DUXU 2019, Held as part of the 21st HCI international conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, Part II 21, 400-411. Springer. https://doi.org/10.1007/978-3-030-23541-3_29
- Zhang, F. ve Xie, H. (2024). Interactive art style font modeling and implementation based on artificial intelligence. Computer-aided design and applications, 21(S7), 193-206. https://doi.org/10.14733/cadaps.2024.s7.193-206
- Zhang, H. (2024). Integration and visualization analysis of artificial intelligence and typography in graphic design. Research and commentary on humanities and Arts, 2(6).
- İnternet kaynakçası https://www.kisa.link/ZGrgS
- https://designs.ai/fonts/
- https://stability.ai/stable-image
- https://en.wikipedia.org/wiki/Stable_Diffusion
- https://www.kisa.link/kmekm
- https://www.robots.ox.ac.uk/~vgg/research/very_deep/
- https://lvdmaaten.github.io/tsne/
- Görsel kaynakçası
- https://www.instagram.com/p/DKk_uGutcKz/
- https://tr.pinterest.com/pin/627337423085259819/
- https://www.myfonts.com/pages/whatthefont
- https://www.kisa.link/laCzT
- https://fontjoy.com/
- https://vernacular.is/
- https://chensio.com/artificial-intelligence
- https://www.slanted.de/product/aesthetics-imperfections/
- https://firefly.adobe.com/generate/image
- https://www.instagram.com/p/C69LHBECMYE/
Abstract
Artificial intelligence technology is constantly expanding its areas of application alongside digitalization. In line with digital developments in science and art, the use of artificial intelligence in typographic design is increasing. Visual communication designers are transforming “fonts” with original approaches, not settling for ready-made font styles. Creating options in typography used to be done by hand, but today it can also be achieved with artificial intelligence tools. The advantage of artificial intelligence is that it can develop many suggestions in a short time by accessing data on the internet; the disadvantage is the issue of the originality of the developed options. This study, conducted within the context of typography and artificial intelligence using qualitative research methods, aims to examine typographic options created with artificial intelligence tools in various dimensions, identify their problems by analyzing examples to reveal their positive and negative aspects, and develop recommendations related to the subject.The most important advantage of artificial intelligence tools is that they can develop many suggestions in a short time by accessing all the information/data available on the internet according to the information and commands uploaded by the user. The most important disadvantage is the problem of originality of the developed options. In this study, which was carried out in the context of typography and artificial intelligence with qualitative research methods; it is aimed to investigate typographic options made with artificial intelligence tools in various dimensions, to determine their problems by examining examples to reveal their positive and negative aspects and to develop suggestions on the subject.
References
- Ambrose, G. ve Harris, P. (2012). Görsel tipografi sözlüğü (1. baskı) (Çev. B. Bayrak). Literatür.
- Ambrose, G. ve Harris, P. (2014). Grafik tasarımda tipografi (1. baskı) (Çev. B. Bayrak). Literatür.
- Ambrose, G. ve Harris, P. (2018). Tipografinin temelleri (2. baskı) (Çev. B. Bayrak). Literatür.
- Choi, S. ve Aizawa, K. (2019). Emotype: Expressing emotions by changing typeface in mobile messenger texting. Multimedia tools and applications, 78, 14155-14172. https://doi.org/10.1007/s11042-018-6753-3
- Desai, C., Pandya, D., Khatri, A. ve Prajapati, N. (2023). Personalized font generation using deep learning neural networks. International journal for research in applied science and engineering technology, 11, 1524-1533. https://doi.org/10.22214/ijraset.2023.54916
- Günay ve Özdemir, (2024). Yapay zekânın grafik tasarım süreçlerine etkisi. Ö. Kum (Ed.), Grafik alanında uluslararası araştırmalar I (1. baskı). (s. 135-157). Eğitim.
- He, J. Y., Cheng, Z. Q., Li, C., Sun, J., He, Q., Xiang, W., Chen, H., Lan J. P., Lin, X., Zhu, K., Luo B., Geng, Y., Xie, X. ve Hauptmann, A. G. (2024). MetaDesigner: Advancing artistic typography through ai-driven, user-centric, and multilingual wordart synthesis. arXiv preprint. https://doi.org/10.48550/arXiv.2406.19859
- Hinton, G. E., Osindero, S. ve Teh, Y. W. (2006). A fast learning algorithm for deep belief nets. Neural computation, 18(7), 1527-1554. https://doi.org/10.1162/neco.2006.18.7.1527
- Hunt, R., (2020). Advanced typography: From knowledge to mastery (1. baskı). Bloomsbury.
- Jean, G. (2023). Yazı insanlığın belleği (11. baskı) (Çev. N. Başer). Yapı Kredi.
- Kavasoğlu, B.R. (2023). Yapay zeka ve görsel tasarım uygulamaları (1. baskı). İksad. https://dx.doi.org/10.5281/zenodo.10441730
- Kurtcu, F. ve Furunci, H. (2024). Yapay zekâ ve tipografi bağlamında değişen süreçler. Rumelide dil ve edebiyat araştırmaları dergisi, 40, 517-531. https://doi.org/10.29000/rumelide.1502212
- LeCun, Y., Bengio, Y. ve Hinton, G. (2015). Deep learning. Nature, 521, 436-444. https://doi.org/10.1038/nature14539
- McLuhan, H. M., (1962). Understanding new media. (Doktora tezi). UMI. https://www.proquest.com/dissertations-theses/understanding-new-media/docview/302118362/se-2
- Nilsson, N. J. (1998). Artificial intelligence: A new synthesis (1. baskı). Elsevier.
- Parente, J., Martins, T., Bicker, J., Hardman, P. D. ve Machado, P. (2020). Working with type: Approaches on generative and evolutionary typographic creation. Conference: Joint proceedings of the ICCC 2020 workshops, (s. 1-10). https://www.researchgate.net/publication/376072482_Working_with_type_Approaches_on_generative_and_evolutionary_typographic_creation
- Ruder, E. (1981). Typographie: A manual of design (1. baskı). Hastings house book.
- Sarıkavak, N. K. (2004). Çağdaş tipografinin temelleri (1. baskı). Seçkin.
- Sayın, Z. (2019). Grafik tasarımda etki (1. baskı). Pegem akademi.
- Shen, J., Jin, K., Zhang, A., Breazeal, C. ve Park, H. W. (2023). Affective typography: The effect of ai-driven font design on empathetic story reading. In extended abstracts of the 2023 chi conference on human factors in computing systems, (s. 1-7). https://doi.org/10.1145/3544549.3585625
- Suryawanshi, R. ve Singh, S. (2024). Artificial intelligence and its applications. International journal of advanced research in science, communication and technology, 4(3), 654-660. https://doi.org/10.48175/ijarsct-18975
- Tanveer, M., Wang, Y., Mahdavi-Amiri, A. ve Zhang, H. (2023). Ds-fusion: Artistic typography via discriminated and stylized diffusion. In proceedings of the IEEE/CVF international conference on computer vision, (s. 374-384).
- Turing, A. M. (2009). Computing machinery and intelligence, 23-65. Springer Netherlands. https://doi.org/10.1007/978-1-4020-6710-5_3
- Zeng, Z., Sun, X. ve Liao, X. (2019). Artificial intelligence augments design creativity: A typeface family design experiment. In design, user experience, and usability. User experience in advanced technological environments: 8th international conference, DUXU 2019, Held as part of the 21st HCI international conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, Part II 21, 400-411. Springer. https://doi.org/10.1007/978-3-030-23541-3_29
- Zhang, F. ve Xie, H. (2024). Interactive art style font modeling and implementation based on artificial intelligence. Computer-aided design and applications, 21(S7), 193-206. https://doi.org/10.14733/cadaps.2024.s7.193-206
- Zhang, H. (2024). Integration and visualization analysis of artificial intelligence and typography in graphic design. Research and commentary on humanities and Arts, 2(6).
- İnternet kaynakçası https://www.kisa.link/ZGrgS
- https://designs.ai/fonts/
- https://stability.ai/stable-image
- https://en.wikipedia.org/wiki/Stable_Diffusion
- https://www.kisa.link/kmekm
- https://www.robots.ox.ac.uk/~vgg/research/very_deep/
- https://lvdmaaten.github.io/tsne/
- Görsel kaynakçası
- https://www.instagram.com/p/DKk_uGutcKz/
- https://tr.pinterest.com/pin/627337423085259819/
- https://www.myfonts.com/pages/whatthefont
- https://www.kisa.link/laCzT
- https://fontjoy.com/
- https://vernacular.is/
- https://chensio.com/artificial-intelligence
- https://www.slanted.de/product/aesthetics-imperfections/
- https://firefly.adobe.com/generate/image
- https://www.instagram.com/p/C69LHBECMYE/
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Visual Effects |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | October 22, 2025 |
| Submission Date | July 11, 2025 |
| Acceptance Date | October 7, 2025 |
| Published in Issue | Year 2025 Issue: Yapay zekâ ve sanat özel sayısı |
ARTS is licensed under CC BY-NC 4.0 
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