Araştırma Makalesi
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Yapay Zekayı İç Mimarlık Eğitimine Entegre Etmek: Konsept Geliştirme

Yıl 2024, Cilt: 5 Sayı: 1, 31 - 60, 31.03.2024

Mehmet Uğur Kahraman Yaren Şekerci Müge Develier Ferhat Koyuncu

https://doi.org/10.53710/jcode.1418783

Öz

Bu makale, iç mimarlık eğitiminde bir tasarım aracı olarak yapay zekanın (AI)
entegrasyonunu keşfetmeyi amaçlamaktadır. Araştırma, öğrencilerin mekan
tasarım stüdyosu proje çıktılarını, kavramsal görüntülerin oluşturulmasında yapay
zeka kullanımı ve yapay zeka tarafından oluşturulan konseptin genel alana
uygulanması üzerinden incelemektedir. Araştırmada, öğrencilerin projeleri "Yapay
Zeka tarafından oluşturulan" kavramsal görseller için yeterli veya yetersiz istemlere
göre beşer kişilik iki gruba ayrılmıştır. Değerlendirme için Barnard'ın (1992) CAIDC
(Consensual Assessment of Interior Design Creativity) ölçeği kullanıldı. Sonuçlar için
Mann-Whitney U Testi yapılmıştır. Barnard'ın (1992) tasarım değerlerine göre, iç
mimari projelerinin konsept geliştirme aşamasında yeterli veya yetersiz bilgi istemi
yazmak arasında önemli bir fark olmadığını anlıyoruz. Bu konuda etkili olan ana
faktörün, yapay zeka ile oluşturulan konsepti belirlenen proje alanlarına uyarlamak
için uygun bir "kavram analizi" ihtiyacı olduğu teyit edilmiştir. Çalışma, özellikle
belirli ipuçlarına dayalı mekansal kavram resimleri oluşturmada AI araçlarının iç
mimarların yerine geçmek yerine yardımcılar olarak hizmet ettiğini, tasarımcı
yorumlama ve uyarlama becerilerinin önemini vurgulayarak sonuçlanmıştır. Ayrıca,
iç mimarlık eğitimine AI'nin entegrasyonunu önererek öğrencilere temel 21. yüzyıl
becerilerini kazandırma ihtiyacını vurgularken, gelecekteki araştırmaların hibrit AI
metodolojilerini ve AI'nin meslekteki evrilen rolünü keşfetmesi gerektiğini öne
sürmektedir.

Anahtar Kelimeler

İç Mekân Tasarımı Konsept Geliştirme Tasarım İletişimi Tasarım Süreci Yapay Zeka.

Kaynakça

  • Aggarwal, K., Mijwil, M. M., Sonia, Al-Misterahi, A., Alamori, S., Gök, N., Alaabdin, A. M. Z., Abdulrhman, A. H. (2022). Has the future started? The current growth of artificial intelligence, machine learning, and deep learning. Iraqi Journal for Computer Science and Mathematics, 3(1), 115-123. https://doi.org/10.52866/ijcsm.2022.01.01.013
  • Allen, P. S., Jones, L. M. & Stimpson, M. F. (2004). Beginnings of Interior Environments. NJ: Pearson.
  • Amabile, T. M. (1982). Social psychology of creativity: A consensual assessment technique. Journal of Personality and Social Psychology, 43(5), 997– 1013. https://doi.org/10.1037/0022-3514.43.5.997
  • Amabile, T. M. (1983). The social psychology of creativity: A componential conceptualization. Journal of Personality and Social Psychology, 45(2), 357-376. https://doi.org/10.1037/0022-3514.45.2.357
  • Amritkar, C. & Jabade. V. S. (2018). Image Caption Generation Using Deep Learning Technique, International Conference on Computing Communication Control and Automation (pp. 1-4). Pune, India, https://doi.org/10.1109/iccubea.2018.8697360
  • Barnard, S. M. (1992). Interior design creativity: The development and testing of a methodology for the consensual assessment of projects [Doctoral dissertations, Faculty of the Virginia Polytechnic Institute and State University, Blacksburg, Virginia]. https://vtechworks.lib.vt.edu/handle/10919/38904
  • Borglund, C. (2022). Artificial Intelligence in architecture and its impact on design creativity: A Study on how Artificial Intelligence Affect Creativity in the Design Process [Degree project in The Build Environment, KTH Royal Institute of Technology, Sweden]. https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1678575&dswid=8923
  • Botti-Salitsky, R. M. (2005). Evaluation of a virtual design studio for interior design education [Doctoral dissertation, Capella University, Minneapolis, USA]. https://www.learntechlib.org/p/118415/
  • Christiaans, H. (2002) Creativity as a design criterion. Creativity Research Journal, 14(1), 41-54. https://doi.org/10.1207/S15326934CRJ1401_4
  • Chymis, A. (2020). Should we fear Artificial Intelligence. In A. W. Amann & A. Stachowicz-Stanusch (Eds.), Artificial Intelligence and its Impact on Business (pp.39-53). NC: 2020 Information Age Publishing Inc.
  • Coupé, T. (2019.) Automation, job characteristics and job insecurity. International Journal of Manpower, 40(7), 1288–1304. https://doi.org/10.1108/ijm-12-2018-0418
  • Çelik, T., & Sağlam, B. (2023). Mimarlık ve ütopya: Yapay zeka ile üretken tasarım denemeleri. Mimarlık 429, (January-February 2023), 59-64. Darke, J. (1979). The primary generator and the design process. Design Studies, 1(1), 36–44. https://doi.org/10.1016/0142-694x(79)90027-9
  • Dozois, P. S. M. (2001). Construction through critique: The dialogic form of design studio teaching and learning [Master's thesis, The University of Manitoba, Faculty of Graduate Studies, Kanada]. https://mspace.lib.umanitoba.ca/items/7f0808ac-b65c-4af6-b34b- b4866891a0d5
  • Dutton, T. A. (1991). The hidden curriculum and the design studio; toward a critical studio pedagogy. In T. A. Dutton (Eds.), Voices in architectural education: Culture politics and pedagogy, Bergin & Garvey.
  • Eskicioğlu, S., & Öztürk, Ö. B. (2020). Tasarlama eyleminin iç mekan tasarımı özelinde algoritmalar ile ilişkisi ve yapay zekalı iç mekan tasarlayıcılarının var edilme süreci. Turkish Online Journal of Design Art and Communication, 10(4), 546-554.
  • Eurostat Statistics Explained (2021). Use of artificial intelligence in enterprises. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Use_of_artificial_intelligence_in_enterprises#Enterprises_using_artificial_intelligence_technologies
  • Finke, R. A. (1996). Imagery, creativity, and emergent structure. Consciousness and Cognition: An International Journal, 5(3), 381–393. https://doi.org/10.1006/ccog.1996.0024
  • Golin, M. & Christopher R. (2022). The impact of fear of automation. Cambridge working papers in economics.
  • Greenhill, V. (2010). 21st century knowledge and skills in educator preparation. S. Petroff (Eds.), AACTE.
  • Gül, Ö. (2016). Türkiye’de iç mimarlık lisans eğitiminde tasarım stüdyosu derslerinin yürütülmesine yönelik geliştirme modeli önerisi [Doctoral dissertation, Mimar Sinan Fine Arts University. İstanbul, Türkiye]. https://tez.yok.gov.tr/UlusalTezMerkezi/TezGoster?key=OykDDeWB WTL9-Wm52sZBrA3ORV_fJge7fUI8TBxjszqJK97wcsH5H8mvhBbQs_4V
  • Haykin, S. (1998). Neural Networks: A comprehensive foundation (The 2nd ed.). Prentice Hall.
  • Hasırcı, D., Küçükkaya, İ. B., Tatari, M. H., Rolla, S., Çalışkanelli, M., & Kabaçam, G. (2022). Concept and scale focus in interior design education: An adaptive reuse museum project. Journal of Architectural Sciences and Applications, 7(2), 652-673.
  • Howells, K. (2018). The future of education and skills: Education 2030: The Future We Want. OECD Publishing. http://create.canterbury.ac.uk/17331/
  • Huang, L., Yu, J., Ji, T. & Xu, J. (2022). A study on the application and analysis of Artificial Intelligence processing technology in interior design. In 2022 6th International Conference on Wireless Communications and Applications (pp. 231-233). ICWCAPP. Kaikou, China. https://doi.org/10.1109/ICWCAPP57292.2022.00064
  • Johnson, B. R. (2000). Sustaining studio culture: How well do internet tools meet the needs of virtual design studios? 18th eCAADe Conference Proceedings (pp. 15-22), ISBN: 0-9523687-6-5. Weimar. https://doi.org/10.52842/conf.ecaade.2000.015
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Integrating Artificial Intelligence in Interior Design Education: Concept Development

Yıl 2024, Cilt: 5 Sayı: 1, 31 - 60, 31.03.2024

Mehmet Uğur Kahraman Yaren Şekerci Müge Develier Ferhat Koyuncu

https://doi.org/10.53710/jcode.1418783

Öz

This article aims to explore the integration of artificial intelligence (AI) as a design tool in interior design education. The research examines the students' interior design studio project outcomes over the usage of AI in creating conceptual images, and the implementation of the AI-created concept to the overall space. In the research, students' projects are divided into two groups of 5 according to sufficient or insufficient prompts for the "AI generated" conceptual images. Barnard's (1992) CAIDC (Consensual Assessment of Interior Design Creativity) scale was used for the assessment. Mann-Whitney U Test was conducted for the results. We understand that there is no significant difference between writing sufficient or insufficient prompts in the concept development phase of interior design projects according to the Barnard (1992)’s design merits. It has been confirmed that the main factor that influences this regard is the need for an appropriate "concept analysis" to adapt the concept generated with AI to the specified project spaces.

Anahtar Kelimeler

Artificial Intelligence Concept Development Design Communication Design Process Interior Design.

Kaynakça

  • Aggarwal, K., Mijwil, M. M., Sonia, Al-Misterahi, A., Alamori, S., Gök, N., Alaabdin, A. M. Z., Abdulrhman, A. H. (2022). Has the future started? The current growth of artificial intelligence, machine learning, and deep learning. Iraqi Journal for Computer Science and Mathematics, 3(1), 115-123. https://doi.org/10.52866/ijcsm.2022.01.01.013
  • Allen, P. S., Jones, L. M. & Stimpson, M. F. (2004). Beginnings of Interior Environments. NJ: Pearson.
  • Amabile, T. M. (1982). Social psychology of creativity: A consensual assessment technique. Journal of Personality and Social Psychology, 43(5), 997– 1013. https://doi.org/10.1037/0022-3514.43.5.997
  • Amabile, T. M. (1983). The social psychology of creativity: A componential conceptualization. Journal of Personality and Social Psychology, 45(2), 357-376. https://doi.org/10.1037/0022-3514.45.2.357
  • Amritkar, C. & Jabade. V. S. (2018). Image Caption Generation Using Deep Learning Technique, International Conference on Computing Communication Control and Automation (pp. 1-4). Pune, India, https://doi.org/10.1109/iccubea.2018.8697360
  • Barnard, S. M. (1992). Interior design creativity: The development and testing of a methodology for the consensual assessment of projects [Doctoral dissertations, Faculty of the Virginia Polytechnic Institute and State University, Blacksburg, Virginia]. https://vtechworks.lib.vt.edu/handle/10919/38904
  • Borglund, C. (2022). Artificial Intelligence in architecture and its impact on design creativity: A Study on how Artificial Intelligence Affect Creativity in the Design Process [Degree project in The Build Environment, KTH Royal Institute of Technology, Sweden]. https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1678575&dswid=8923
  • Botti-Salitsky, R. M. (2005). Evaluation of a virtual design studio for interior design education [Doctoral dissertation, Capella University, Minneapolis, USA]. https://www.learntechlib.org/p/118415/
  • Christiaans, H. (2002) Creativity as a design criterion. Creativity Research Journal, 14(1), 41-54. https://doi.org/10.1207/S15326934CRJ1401_4
  • Chymis, A. (2020). Should we fear Artificial Intelligence. In A. W. Amann & A. Stachowicz-Stanusch (Eds.), Artificial Intelligence and its Impact on Business (pp.39-53). NC: 2020 Information Age Publishing Inc.
  • Coupé, T. (2019.) Automation, job characteristics and job insecurity. International Journal of Manpower, 40(7), 1288–1304. https://doi.org/10.1108/ijm-12-2018-0418
  • Çelik, T., & Sağlam, B. (2023). Mimarlık ve ütopya: Yapay zeka ile üretken tasarım denemeleri. Mimarlık 429, (January-February 2023), 59-64. Darke, J. (1979). The primary generator and the design process. Design Studies, 1(1), 36–44. https://doi.org/10.1016/0142-694x(79)90027-9
  • Dozois, P. S. M. (2001). Construction through critique: The dialogic form of design studio teaching and learning [Master's thesis, The University of Manitoba, Faculty of Graduate Studies, Kanada]. https://mspace.lib.umanitoba.ca/items/7f0808ac-b65c-4af6-b34b- b4866891a0d5
  • Dutton, T. A. (1991). The hidden curriculum and the design studio; toward a critical studio pedagogy. In T. A. Dutton (Eds.), Voices in architectural education: Culture politics and pedagogy, Bergin & Garvey.
  • Eskicioğlu, S., & Öztürk, Ö. B. (2020). Tasarlama eyleminin iç mekan tasarımı özelinde algoritmalar ile ilişkisi ve yapay zekalı iç mekan tasarlayıcılarının var edilme süreci. Turkish Online Journal of Design Art and Communication, 10(4), 546-554.
  • Eurostat Statistics Explained (2021). Use of artificial intelligence in enterprises. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Use_of_artificial_intelligence_in_enterprises#Enterprises_using_artificial_intelligence_technologies
  • Finke, R. A. (1996). Imagery, creativity, and emergent structure. Consciousness and Cognition: An International Journal, 5(3), 381–393. https://doi.org/10.1006/ccog.1996.0024
  • Golin, M. & Christopher R. (2022). The impact of fear of automation. Cambridge working papers in economics.
  • Greenhill, V. (2010). 21st century knowledge and skills in educator preparation. S. Petroff (Eds.), AACTE.
  • Gül, Ö. (2016). Türkiye’de iç mimarlık lisans eğitiminde tasarım stüdyosu derslerinin yürütülmesine yönelik geliştirme modeli önerisi [Doctoral dissertation, Mimar Sinan Fine Arts University. İstanbul, Türkiye]. https://tez.yok.gov.tr/UlusalTezMerkezi/TezGoster?key=OykDDeWB WTL9-Wm52sZBrA3ORV_fJge7fUI8TBxjszqJK97wcsH5H8mvhBbQs_4V
  • Haykin, S. (1998). Neural Networks: A comprehensive foundation (The 2nd ed.). Prentice Hall.
  • Hasırcı, D., Küçükkaya, İ. B., Tatari, M. H., Rolla, S., Çalışkanelli, M., & Kabaçam, G. (2022). Concept and scale focus in interior design education: An adaptive reuse museum project. Journal of Architectural Sciences and Applications, 7(2), 652-673.
  • Howells, K. (2018). The future of education and skills: Education 2030: The Future We Want. OECD Publishing. http://create.canterbury.ac.uk/17331/
  • Huang, L., Yu, J., Ji, T. & Xu, J. (2022). A study on the application and analysis of Artificial Intelligence processing technology in interior design. In 2022 6th International Conference on Wireless Communications and Applications (pp. 231-233). ICWCAPP. Kaikou, China. https://doi.org/10.1109/ICWCAPP57292.2022.00064
  • Johnson, B. R. (2000). Sustaining studio culture: How well do internet tools meet the needs of virtual design studios? 18th eCAADe Conference Proceedings (pp. 15-22), ISBN: 0-9523687-6-5. Weimar. https://doi.org/10.52842/conf.ecaade.2000.015
  • Johnson, M. J. (1994). Holistic thinking by eighth graders: A descriptive study of the use of figural and formal language during music listening [Doctoral dissertation, University of Colorado. Boulder. U.S. Access Address (04.08.2023): https://www.proquest.com/openview/f57e3c98f750453196cf8d218 8df4ae0/1?pq-origsite=gscholar&cbl=18750&diss=y.
  • Kahvecioğlu, N. P. (2007). Architectural design studio organization and creativity. JCoDe: Journal of Computational Design, 4(2), 6-26. Access Address (04.08.2023): https://dergipark.org.tr/tr/download/article- file/2508017.
  • Kahraman, M. U., Şekerci, Y., & Develier, M. (2023). Integrating artificial intelligence into interior design education: a case study on creating office spaces for" Avrupa Yakası" TV series characters. Interaction Design and Architecture(s) Journal - IxD&A, 59(1), pp. 95 – 116. https://doi.org/10.55612/s-5002-059-004
  • King, M. (2022). Harmful biases in artificial intelligence. The Lancet Psychiatry, 9(11), e48. Access Address (04.08.2023): https://doi.org/10.1016/S2215-0366(22)00312-1.
  • Kotsiantis, S. B. (2007). Supervised Machine Learning: A Review of Classification Techniques. Informatica Journal (Lithuanian Academy of Sciences), 31(3), 249-268. Access Address (04.08.2023): https://www.informatica.si/index.php/informatica/article/view/148/ 140
  • Laar, E., Deursen, A. J. A M., Dijk, J. A. G. M. & Haan, J. (2020). Determinants of 21st-century skills and 21st-century digital skills for workers: A systematic literature review. SAGE Open, 10(1), 1-14. Access Address (05.08.2023): https://doi.org/10.1177/2158244019900176
  • Li, J & Huang, J. S. (2020). Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory. Technology in Society, 63, 101410. Access Address (04.08.2023): https://doi.org/10.1016/j.techsoc.2020.101410.
  • Liang, Y. & Lee, S. C. (2017). Fear of autonomous robots and Artificial Intelligence: Evidence from national representative data with probability sampling. International Journal of Social Robotics, 9(3), 379-384. Access Address (04.08.2023): https://doi.org/10.1007/s12369-017-0401-3.
  • Liu, Q. & Wu, Y. (2012). Supervised Learning. Seel, N.M. (Ed.), Encyclopedia of the Sciences of Learning. Springer EBooks, Boston, MA. (s. 3243-3245). ISBN: 978-1-4419-1428-6. Access Address (04.08.2023):https://doi.org/10.1007/978-1-4419-1428-6_451
  • Mansur, S. (2018). Mind and artificial intelligence. City University of New York. LaGuardia Community College.
  • Marcus, G., Davis, E. & Aaronson, S. (2022). A very preliminary analysis of Dall- E 2. ArXiv (Cornell University). Access Address (04.08.2023): https://doi.org/10.48550/arXiv.2204.13807
  • Maslej, N., Fattorini, L., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., ... & Perrault, R. (2023). The AI index 2023 annual report. AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA. Access Address (04.08.2023): https://aiindex.stanford.edu/report/
  • McCarthy, J. (2007). What is Artificial Intelligence? Basic Questions. Computer Science Department Stanford University, Stanford, CA. Access Address (04.08.2023): http://www- formal.stanford.edu/jmc/whatisai/.
  • Mirbabaie, M., Brünker, F., Möllmann, N. R. J. & Stieglitz, S. (2022). The rise of artificial intelligence–understanding the AI identity threat at the workplace. Electronic Markets, 32(1), 73-99. Access Address (04.08.2023): https://doi.org/10.1007/s12525-021-00496-x.
  • Mishkin P., Ahmad, L., Brundage, M., Krueger, G. & Sastry, G. (2022). Dall-E 2 Preview – Risks and Limitations. Access Address (04.08.2023): https://github.com/openai/dalle-2-preview/blob/main/system- card.md
  • Mitton, M. (2004). Interior design visual presentation; A guide to graphics, models and presentation techniques (2nd ed.). New Jersey: John Wiley & Sons.
  • Morikawa, M. (2017). Who are afraid of losing their jobs to artificial intelligence and robots? Evidence from a survey (No. 71). GLO Discussion Paper.
  • Murphy, K. P. (2012). Machine learning: A probabilistic perspective. England: MIT press. ISBN: 978-0-262-01802-9.
  • Natale, S., Ballatore, A. (2017). Imagining the thinking machine: Technological myths and the rise of artificial intelligence. The International Journal of Research into New Media Technologies, 26(1), 3–18. Access Address (04.08.2023). https://doi.org/10.1177/1354856517715164.
  • Neilson, K. J., Taylor, D. A., Butcher, P. A., Hanson, J., Park, J. & Kausal, J. (2002). Interiors an Introduction (3rd ed.). McGraw-Hill.
  • Nilsson, J. N. (1984). Artificial intelligence, employment, and income. AI magazine, 5(2), 5-14. Access Address (05.08.2023): https://doi.org/10.1609/aimag.v5i2.433.
  • Öztürk, M. N. & Türkkan, E. (2006). The design studio as teaching/learning medium-a process-based approach. International Journal of Art & Design Education, 25(1), 96-104 Access Address (05.08.2023): https://doi.org/10.1111/j.1476-8070.2006.00472.x
  • Pile, J. P. 1995. Interior Design (2nd ed.). Prentice Hall. ISBN: 0-8109-3463-9 Prokopowicz, Ka. (2022). Technological unemployment: Who is afraid of losing their job to a robot? Journal of Business Management, 20, 119-129.
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  • Tate, A. (1987). The making of interiors: An introduction (1st ed.). Harper & Row. ISBN: 0060466715.
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  • Wu, S. & Han, S. (2023). System Evaluation of Artificial Intelligence and Virtual Reality Technology in the Interactive Design of Interior Decoration. Applied Sciences, 13(10), 6272/1-13. Access Address (05.08.2023): https://doi.org/10.3390/app13106272.
  • Wu, S. (2022). Application of Chinese Traditional Elements in Furniture Design Based on Wireless Communication and Artificial Intelligence Decision. Wireless Communications and Mobile Computing 2022 (May): 1-6. Access Address (05.08.2023): https://doi.org/10.1155/2022/7113621
  • Xu, Y. & Yu, T. (2022). Visual Performance of Psychological Factors in Interior Design Under the Background of Artificial Intelligence. Frontiers in Psychology, 13, 941196. Access Address (05.08.2023): https://pubmed.ncbi.nlm.nih.gov/35967610/.
  • Yıldırım, B., & Demirarslan, D. (2020). İç mimarlıkta yapay zekâ uygulamalarının tasarım sürecine faydalarının değerlendirilmesi. Humanities Sciences, 15(2), 62-80.
  • Yurtgün, H. Ö., & Çınar, H. (2023). A new approach to the space design process in the interior architecture basic design studio. Journal of Architectural Sciences & Applications (JASA), 8(1).
  • Yu-Shan, C., Hung-Chan, L., Yu-Hung, C. & Wan-Hsuan, Y. (2018). Effects of creative components and creative behavior on design creativity. Thinking Skills and Creativity, 29(4), 23-31. Access Address (28.07.2023): http://dx.doi.org/10.1016/j.tsc.2018.05.007
  • Zheng, S. (2022, 19.10). An evaluation system for interior design solutions based on artificial intelligence processing technology. In 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2022), 1229435. Xishuangbanna, China. Access Address (05.08.2023). https://doi.org/10.1117/12.2639884.
  • Zicari, R. V. (2018). Explorations in artificial intelligence and machine learning. CRC Press.
Toplam 66 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İç Mimarlık
Bölüm Araştırma Makaleleri
Yazarlar

Mehmet Uğur Kahraman 0000-0003-1237-1792

Yaren Şekerci 0000-0003-4509-6299

Müge Develier 0000-0003-4509-6299

Ferhat Koyuncu 0000-0003-3728-912X

Erken Görünüm Tarihi 29 Mart 2024
Yayımlanma Tarihi 31 Mart 2024
Gönderilme Tarihi 12 Ocak 2024
Kabul Tarihi 6 Mart 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 5 Sayı: 1

Kaynak Göster

APA Kahraman, M. U., Şekerci, Y., Develier, M., Koyuncu, F. (2024). Integrating Artificial Intelligence in Interior Design Education: Concept Development. Journal of Computational Design, 5(1), 31-60. https://doi.org/10.53710/jcode.1418783
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