Using Generative AI Midjourney to enhance divergent and convergent thinking in an architect’s creative design process
Open accessAbstract
Architects use a range of tools, from the traditional pencil to Virtual Reality technologies to prototype and articulate their creative designs. In recent years, Generative Artificial Intelligence (GenAI) software has reached the mainstream and there is an exponential appearance of GenAI images that portray architectural designs. This article documents an architectural design methodology that uses Midjourney, a text-to-image GenAI software, as a design tool that enhances architects’ creativity. Prompted by a design brief, we used Midjourney to accelerate (1) the identification and refinement process of developing a prospective user and (2) the ideation process of creating different desirable spaces for the designed user.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The social dimensions of creative AI platforms are increasingly recognized as central to user motivation and engagement.
“As indicated by recent developments in the generative AI field—such as Suno CEO's vision of seeing Suno as a form of social media [69], and OpenAI's plans to develop social media capabilities potentially influenced by GPT-4o's successful image generation feature [58]—the social dimensions of creative AI platforms are increasingly recognized as central to user motivation and engagement.”
From Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production (2025) · cites this paper as [69]
The Background and Results sections discuss Midjourney’s role in architects’ creative thinking, not the social features of creative AI platforms or their effect on user motivation and engagement. Searches for social interaction, community, motivation, and engagement found no passage addressing that claim; the copy provides no page numbers. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The reflective practitioner: How professionals think in action
Stewart, C. J. (1984) · Patient Education and Counseling · doi:10.1016/0738-3991(84)90022-3 · Cited by 19,751 · see citing works
Guilford, J. P. (1950) · American Psychologist · doi:10.1037/h0063487 · Cited by 3,588 · see citing works
Creativity In Context: Update To The Social Psychology Of Creativity
Amabile, T. M. (1996) · Cited by 3,218 · see citing works
Beyond Big and Little: The Four C Model of Creativity
Kaufman, J. C., & Beghetto, R. A. (2009) · Review of General Psychology · doi:10.1037/a0013688 · Cited by 2,669 · see citing works
Guidelines for Human-AI Interaction
Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., Suh, J., Iqbal, S., Bennett, P. N., Inkpen, K., et al. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300233 · Cited by 2,439 · see citing works
Guilford, J. P. (1956) · Psychological Bulletin · doi:10.1037/h0040755 · Cited by 1,517 · see citing works
Stein, M. I. (1953) · The Journal of Psychology · doi:10.1080/00223980.1953.9712897 · Cited by 1,074 · see citing works
The nature and nurture of creative talent.
MacKinnon, D. W. (1962) · American Psychologist · doi:10.1037/h0046541 · Cited by 998 · see citing works
Torrance Tests of Creative Thinking: Norms -- Technical Manual
Wallach, M. A., & Torrance, E. P. (1968) · American Educational Research Journal · doi:10.2307/1161826 · Cited by 851 · see citing works
Frayling, C., & Art, L. (. K. R. C. O. (1993) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 563 · see citing works
(2008) · Medical Entomology and Zoology · Cited by 545 · see citing works
The Systems Model of Creativity
Csíkszentmihályi, M. (2014) · Springer eBooks · doi:10.1007/978-94-017-9085-7 · Cited by 470 · see citing works
Creativity : the psychology of discovery and invention
Csíkszentmihályi, M. (2013) · Medical Entomology and Zoology · Cited by 409 · see citing works
Miller, A. I. (2019) · The MIT Press eBooks · doi:10.7551/mitpress/11585.001.0001 · Cited by 221 · see citing works
Artificial intelligence in architecture: Generating conceptual design via deep learning
As, İ., Pal, S., & Basu, P. (2018) · International Journal of Architectural Computing · doi:10.1177/1478077118800982 · Cited by 207 · see citing works
Formalising Design Exploration as Co-Evolution
Maher, M. L., Poon, J., & Boulanger, S. (1996) · Springer eBooks · doi:10.1007/978-0-387-34925-1_1 · Cited by 207 · see citing works
Collaborative problem–solution co-evolution in creative design
Wiltschnig, S., Christensen, B. T., & Ball, L. J. (2013) · Design Studies · doi:10.1016/j.destud.2013.01.002 · Cited by 191 · see citing works
Exploring the neural correlates of visual creativity
Aziz‐Zadeh, L., Liew, S., & Dandekar, F. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss021 · Cited by 190 · see citing works
AI Creativity and the Human-AI Co-creation Model
Wu, Z., Ji, D., Yu, K., Zeng, X., Wu, D., & Shidujaman, M. (2021) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-78462-1_13 · Cited by 186 · see citing works
Approaches to verbal, visual and musical creativity by EEG coherence analysis
Petsche, H. (1996) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(96)00050-5 · Cited by 176 · see citing works
Co-evolution and emergence in design
Dorst, K. (2019) · Design Studies · doi:10.1016/j.destud.2019.10.005 · Cited by 126 · see citing works
The Complex Field of Research: for Design, through Design, and about Design
Frankel, L., & Racine, M. (2010) · Proceedings of DRS · doi:10.21606/drs.2008.43 · Cited by 109 · see citing works
Something Old, Something New: Revisiting Guilford's Conception of Creative Problem Solving
Mumford, M. D. (2001) · Creativity Research Journal · doi:10.1207/s15326934crj1334_04 · Cited by 106 · see citing works
Common and distinct brain networks underlying verbal and visual creativity
Zhu, W., Chen, Q., Xia, L., Beaty, R. E., Yang, W., Tian, F., Sun, J., Cao, G., Zhang, Q., Chen, X., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23507 · Cited by 103 · see citing works
Machine learning for architectural design: Practices and infrastructure
Tamke, M., Nicholas, P., & Zwierzycki, M. (2018) · International Journal of Architectural Computing · doi:10.1177/1478077118778580 · Cited by 93 · see citing works
Palmiero, M., Nori, R., Aloisi, V., Ferrara, M., & Piccardi, L. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01870 · Cited by 75 · see citing works
Studente, S., Seppala, N., & Sadowska, N. M. (2015) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2015.09.001 · Cited by 65 · see citing works
Hawking's Haiku, Madonna's Math: Why It Is Hard to Be Creative in Every Room of the House.
Kaufman, J. C., & Baer, J. (2006) · American Psychological Association eBooks · doi:10.1037/10692-001 · Cited by 61 · see citing works
Metaphors and verbal creativity: The role of the right hemisphere
Gold, R., Faust, M., & Ben‐Artzi, E. (2011) · Laterality Asymmetries of Body Brain and Cognition · doi:10.1080/1357650x.2011.599936 · Cited by 46 · see citing works
Martin, R., & Euchner, J. (2012) · Research-Technology Management · doi:10.5437/08956308x5503003 · Cited by 44 · see citing works
The Effects of a Verbal and a Figural Creativity Training on Different Facets of Creative Potential
Fink, A., Reim, T., Benedek, M., & Grabner, R. H. (2019) · The Journal of Creative Behavior · doi:10.1002/jocb.402 · Cited by 40 · see citing works
Computer-aided mind map generation via crowdsourcing and machine learning
Camburn, B., Arlitt, R. M., Anderson, D. S., Sanaei, R., Raviselvam, S., Jensen, D., & Wood, K. L. (2020) · Research in Engineering Design · doi:10.1007/s00163-020-00341-w · Cited by 39 · see citing works
MENGES, A., SHEIL, B., GLYNN, R., & SKAVARA, M. (2017) · UCL Press eBooks · doi:10.14324/111.9781787350014 · Cited by 30 · see citing works
Özman, G. Ö., & Selçuk, S. A. (2022) · International Journal of Architectural Computing · doi:10.1177/14780771221100102 · Cited by 29 · see citing works
The Relationship of Second Language Learning and Verbal Creativity
Landry, R. G. (1973) · Modern Language Journal · doi:10.1111/j.1540-4781.1973.tb04676.x · Cited by 24 · see citing works
Preiss, D. D., Ibaceta, M., Ortíz, D., Carvacho, H., & Grau, V. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01118 · Cited by 22 · see citing works
Max Wertheimer Productive Thinking
Wertheimer, M. (2020) · Classic texts in the sciences · doi:10.1007/978-3-030-36063-4 · Cited by 21 · see citing works
Simeone, L., Mantelli, R., & Adamo, A. (2022) · Proceedings of DRS · doi:10.21606/drs.2022.197 · Cited by 18 · see citing works
Yemez, N., & Dikilitaş, K. (2022) · Creativity Studies · doi:10.3846/cs.2022.12603 · Cited by 17 · see citing works
Notes on Design: How Creative Practice Works
Dorst, K. (2018) · OPUS - Open Publications of UTS Scholars (University of Technology Sydney) · Cited by 17 · see citing works
The Visual Definition of Visual Creativity
Dake, D. M. (1991) · Journal of Visual Literacy · doi:10.1080/23796529.1991.11674461 · Cited by 17 · see citing works
The Church of AI - An examination of architecture in a posthuman design ecology
del Campo, M., Manninger, S., Sanche, M., & Wang, L. (2019) · Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia · doi:10.52842/conf.caadria.2019.2.767 · Cited by 16 · see citing works
Verbal and Figural Creativity in Contemporary High-school Students
Dău-Gaşpar, O. (2013) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2013.04.371 · Cited by 14 · see citing works
Human-level design proposals by an artificial agent in multiple scenarios
Serra, G., & Miralles, D. (2021) · Design Studies · doi:10.1016/j.destud.2021.101029 · Cited by 12 · see citing works
Figural Creativity, Intelligence, And Personality In Children
Hetrick, S. H., Lilly, R. S., & Merrifield, P. R. (1968) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr0302_3 · Cited by 11 · see citing works
In the eye of the beholder: A viewer-defined conception of online visual creativity
Herman, L. M., & Hwang, A. H. (2022) · New Media & Society · doi:10.1177/14614448221089604 · Cited by 10 · see citing works
Strange, But Familiar Enough: The Design Ecology of Neural Architecture
del Campo, M., & Manninger, S. (2022) · Architectural Design · doi:10.1002/ad.2811 · Cited by 7 · see citing works
Artificial intelligence and robotics in architecture: Autonomy, agency, and indeterminacy
Wit, A. J., Vasey, L., Parlac, V., Marcu, M., Jabi, W., Gerber, D. J., Daas, M., & Clayton, M. J. (2018) · International Journal of Architectural Computing · doi:10.1177/1478077118807266 · Cited by 7 · see citing works
Approximating urban wind interference
Wilkinson, S. A., Bradbury, G. A., & Hanna, S. (2014) · Annual Simulation Symposium (ANSS) · doi:10.5555/2664323.2664335 · Cited by 6 · see citing works
Dzieduszyński, T. (2022) · International Journal of Architectural Computing · doi:10.1177/14780771211066877 · Cited by 5 · see citing works
Using ChatGPT to extract design concepts from stories
Tan, L. (2023) · LearnXDesign Conference · doi:10.21606/drslxd.2023.054 · Cited by 4 · see citing works
Self-citationAccelerating Future Scenario Development For Concept Design With Text-Based GenAI (ChatGPT)
Tan, L., & Luke, T. (2024) · Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia · doi:10.52842/conf.caadria.2024.1.039 · Cited by 4 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Luhrs, M., and L. Tan. 2022. "Incorporating Artificial Intelligence Generated Visualisations in the Architectural Design Process." In Architecture, Media, Politics and Society: Representing Pasts Visioning Futures Conference, Online, December 1. https://amps- research.com/event/visioning/schedule/digitality-architecture-urban-space/incorporating- artificial-intelligence-generated-visualisations-in-the-architectural-design-process/
- Torrance, E. P. 1962. "Testing and Creative Talent." Educational Leadership 20 (1): 7-10.
Cited by
Sorted by citations
Generative AI models for different steps in architectural design: A literature review
Li, C., Zhang, T., Du, X., Zhang, Y., & Xie, H. (2024) · Frontiers of Architectural Research · doi:10.1016/j.foar.2024.10.001 · Cited by 198 · see citing works
Generative AI-enhanced human-AI collaborative conceptual design: A systematic literature review
Fang, C., Zhu, Y., Fang, L., Long, Y., Lin, H., Cong, Y., & Wang, S. J. (2025) · Design Studies · doi:10.1016/j.destud.2025.101300 · Cited by 107 · see citing works
Hwang, Y., & Wu, Y. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1455015 · Cited by 104 · see citing works
Bibri, S. E., & Huang, J. (2025) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2025.100628 · Cited by 76 · see citing works
How generative AI supports human in conceptual design
Chen, L., Song, Y., Jia, G., Sun, L., Childs, P., & Yin, Y. (2025) · Design Science · doi:10.1017/dsj.2025.2 · Cited by 68 · see citing works
Machine learning for generative architectural design: Advancements, opportunities, and challenges
Zhuang, X., Zhu, P., Yang, A. Y., & Caldas, L. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106129 · Cited by 58 · see citing works
Campo-Ruiz, I. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03968-5 · Cited by 39 · see citing works
AI4Design: A generative AI-based system to improve creativity in design–A field evaluation
Abrusci, L., Dabaghi, K., D’Urso, S., & Sciarrone, F. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100401 · Cited by 37 · see citing works
Designing Co-Creative Systems: Five Paradoxes in Human–AI Collaboration
Salma, Z., Hijón‐Neira, R., & Pizarro, C. (2025) · Information · doi:10.3390/info16100909 · Cited by 37 · see citing works
Memon, S. A., Shehata, W., Rowlinson, S., & Sunindijo, R. Y. (2025) · Buildings · doi:10.3390/buildings15132270 · Cited by 30 · see citing works
Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production
Fu, Y., Newman, M., Going, L., Feng, Q., & Lee, J. H. (2025) · Proceedings of the 2025 ACM Designing Interactive Systems Conference · doi:10.1145/3715336.3735829 · Cited by 30 · see citing works
Medel-Vera, C., Britton, S., & Gates, W. F. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100501 · Cited by 26 · see citing works
Tsao, J., Liang, C. X., Nogues, C., & Wong, A. (2026) · AI & SOCIETY · doi:10.1007/s00146-025-02667-2 · Cited by 25 · see citing works
A foundation model enhanced approach for generative design in combinational creativity
Chen, L., Zhang, Y. E., Han, J., Sun, L., Childs, P., & Wang, B. (2024) · Journal of Engineering Design · doi:10.1080/09544828.2024.2356707 · Cited by 21 · see citing works
Zeivots, S., Casey, A., Winchester, T., Webster, J., Wang, X., Tan, L., Smeenk, W., Schulte, F. P., Scholkmann, A., Paulovich, B., et al. (2025) · Postdigital Science and Education · doi:10.1007/s42438-025-00595-4 · Cited by 21 · see citing works
Self-citationLee, S., Hwang, S., Kim, D.-J., & Lee, K. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3719792 · Cited by 19 · see citing works
Xin, Y., Zhou, Y., & Liu, Y. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106253 · Cited by 17 · see citing works
A tea packaging design method based on artificial intelligence generated content
Gao, Z., & Li, Z. (2025) · Journal of Engineering Design · doi:10.1080/09544828.2025.2489647 · Cited by 16 · see citing works
Wang, B., Han, J., Zhao, X., Yin, Y., Chen, L., & Childs, P. (2025) · Design and Artificial Intelligence · doi:10.1016/j.daai.2025.100006 · Cited by 16 · see citing works
Dong, Q., He, J., Li, N., Wang, B., Lu, H., & Yang, Y. (2025) · Buildings · doi:10.3390/buildings15162864 · Cited by 15 · see citing works
The influence of generative AI with prompt engineering on creative design in architectural education
Lee, S., & Kang, S. (2026) · Journal of Asian Architecture and Building Engineering · doi:10.1080/13467581.2025.2552446 · Cited by 13 · see citing works
Liu, R., Wu, T., Chu, J., & Qu, P. (2025) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2025.101967 · Cited by 13 · see citing works
Bordas, A., Masson, P. L., & Weil, B. (2025) · Creativity and Innovation Management · doi:10.1111/caim.70013 · Cited by 9 · see citing works
Çelik, T. (2024) · AI & Society · doi:10.1007/s00146-024-02042-7 · Cited by 9 · see citing works
Meng, J.-T., Fang, X., Xu, J., & Zhang, Z. (2025) · Buildings · doi:10.3390/buildings15071067 · Cited by 8 · see citing works
Designer experiences and perspectives on the role of generative AI in industrial design
Süner-Pla-Cerdà, S., Şen, G., Kumbasar, E., Şahin, B., & Ünlü, C. E. (2025) · AI & Society · doi:10.1007/s00146-025-02504-6 · Cited by 7 · see citing works
Fang, C., Zhang, M., Khiatani, P. V., Lin, H., Liu, W., & Wang, S. J. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-06796-x · Cited by 7 · see citing works
Wang, W.-F., Lee, T.-Y., Lu, C.-T., Hsu, C., Campanyà, N. P. I., Chen, Y., Chen, M. Y., & Chen, B. (2025) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3746059.3747774 · Cited by 5 · see citing works
Cheung, L. H., Lombardi, D., & Marco, G. D. (2025) · Architectural Science Review · doi:10.1080/00038628.2025.2586655 · Cited by 5 · see citing works
Gao, B., Liu, R., & Chu, J. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93412-4_11 · Cited by 5 · see citing works
Generative AI: Concerns, usage, challenges, opportunities and sentiments
Twinomurinzi, H., & Gumbo, S. (2025) · South African Computer Journal · doi:10.18489/sacjv37i1/17890 · Cited by 4 · see citing works
Optimizing the conceptual design process of animation scenes using generative AI
Peng, J., Kim, H., Wang, N., & Wang, J. (2025) · Frontiers in Computer Science · doi:10.3389/fcomp.2025.1741768 · Cited by 3 · see citing works
Li, Y., & Zhu, J. (2026) · The Design Journal · doi:10.1080/14606925.2025.2603616 · Cited by 3 · see citing works
Mangubat, J. C. (2026) · Journal of Asian Architecture and Building Engineering · doi:10.1080/13467581.2025.2585659 · Cited by 3 · see citing works
Chen, T.-L., Chuang, Y., & Zhu, R. (2024) · International Conference on Control and Robotics (ICCR) · doi:10.1109/iccr64365.2024.10927462 · Cited by 3 · see citing works
Fostering AI Literacy Through Simple Prompting Exercises Using Dall-E
Ringenberg, T. R., Bhardwaj, N., Kim, N., & Thomas, P. J. (2024) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie61694.2024.10893123 · Cited by 3 · see citing works
Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production
Fu, Y., Newman, M., Going, L., Feng, Q., & Lee, J. H. (2025) · arXiv · Cited by 30 · see citing works
“Such synergy has found applications across various domains, including writing [59], fashion design [25], architecture [72], marketing and advertising [39], visual arts [84], and more.”
Guo, Q., & Tang, L. (2026) · Journal of Engineering Design · doi:10.1080/09544828.2026.2620967 · Cited by 2 · see citing works
A Theoretical Framework of the Structure of Augmented Creativity
Schirrmeister, T., Kintzel, K., & Clausen, S. (2026) · Information Systems Frontiers · doi:10.1007/s10796-026-10745-z · Cited by 2 · see citing works
Aesthetic Paradigms of Artificial Intelligence: ‘isms’
Çelik, T. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-032-00071-2_14 · Cited by 1 · see citing works
Hye-Min, L., & Lee, J.-H. (2025) · Applied Sciences · doi:10.3390/app151910583 · Cited by 1 · see citing works
The Role of Generative Artificial Intelligence in Enhancing 4C Skills in Foreign Language Education
Orhan, A., & Yağcı, Ş. Ç. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7574-8.ch008 · Cited by 1 · see citing works
The Spontaneous Ideation for the Nascent Entrepreneurs
Russ, M. (2025) · Journal of Management and Business Education · doi:10.35564/jmbe.2025.0029 · Cited by 1 · see citing works
Hou, S. (2026) · Frontiers in Education · doi:10.3389/feduc.2025.1681007 · Cited by 1 · see citing works
Architecture Students and AI: Exploring Applications and Perceptions in the Class
Fışgın, S. (2026) · CONTEXTO Revista de la Facultad de Arquitectura de la Universidad Autónoma de Nuevo León · doi:10.29105/contexto20.31-522 · Cited by 1 · see citing works
Xu, J., Fan, Z., Yu, T., Huang, Q., & Jiang, S. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2622581 · Cited by 1 · see citing works
Obeidat, B. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.102951 · Cited by 1 · see citing works
Al-Sharafi, M. A., Elgendy, I. A., Helal, M. Y. I., Alahmad, R., Chae, I., & Dwivedi, Y. K. (2026) · International Journal of Innovation Management · doi:10.1142/s1363919626500210 · Cited by 1 · see citing works
Lin, H., & Xie, L. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1839565 · Cited by 1 · see citing works
Liu, Y., Meng, M., & Zhang, Y. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1858187 · Cited by 1 · see citing works
Przybyszewski, J., Li, J., & Cuffe, P. (2025) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2025.3617543 · Cited by 1 · see citing works
Raheem, M. S., & Ra’ouf, Z. H. (2025) · Journal of Design and Built Environment · doi:10.22452/jdbe.vol25no1.4
Sherif, J., & Nagy, G. (2025) · WSEAS TRANSACTIONS on SYSTEMS archive · doi:10.37394/23202.2025.24.61
Creative Design Theory Research for Smart Product Service SystemPreprint
Mo, X., Lv, Z., Luh, D.-B., & Yang, X. (2025) · Research Square · doi:10.21203/rs.3.rs-7045991/v1
Hong, S. M., & Choo, S. (2025) · Buildings · doi:10.3390/buildings15193477
Bazaid, R. H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5616969
Song, F., & Rabu, S. N. A. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-3673-2.ch001
Creative thinking in the process of architectural design. A systemic review of literature
Cruzado-Palacios, M. D. (2025) · LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI) · doi:10.18687/laccei2025.1.1.1381
AI in Modern Architecture and Design: Rethinking the Boundaries of an Emerging Field
Visvizi, A., Ibrahim, A., Mohammed, M. F. M., & Fahmy, A. A. (2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80592-945-120261004
Positioning Roles of AI Representations in Creative Conversation
Ren, L., & Deng, Z. (2025) · LearnXDesign Conference · doi:10.21606/drslxd.2025.046
Design Principles Guide Meaningful Play by Improving Ease and Intentionality of Game Design
Chu, S., Guy, S. J., Chavis, Z. Q., Glick, A., Lawton, D., & Liang, R. (2026) · International Journal of Social Science Research · doi:10.5296/ijssr.v14i1.23626
Chu, L., & Zhou, K. (2026) · Lecture notes in civil engineering · doi:10.1007/978-981-95-7618-0_27
Generative Artificial Intelligence and Design Thinking
Koh, J. H. L. (2026) · Springer eBooks · doi:10.1007/978-981-95-8531-1_9
Erlyana, Y., Yi, L. J., Saputra, M. G., & Panggula, A. Y. (2026) · International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS) · doi:10.1109/iccraids67816.2026.11519670
Song, Y., Hu, Y., Zhou, Z., Bai, Y., Du, X., Liang, Z., Shi, Y., & Deng, W. (2026) · Proceedings of DRS · doi:10.21606/drs.2026.1282
Chenfeng, X. U., & LIANG, H. (2026) · Landscape Architecture Frontiers · doi:10.15302/j-laf-2026-0033
The potential of artificial intelligence tools in the first-year design studio
Yıldırım, İ. (2026) · İstanbul Sabahattin Zaim Üniversitesi Fen Bilimleri Enstitüsü Dergisi · doi:10.47769/izufbed.1891002
From manual to autonomous: a literature review of GenAI integration levels for design education
Mao, L., Qi, M., Ho, J. C. F., Bruyns, G., Lee, K.-P., & Zhou, Z. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2680597
Somasundaran, A. P. (2026) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-032-24784-1_27
AI-Generated Visuals for Blended Learning: A Design Framework for Hybrid Classrooms
Baltazar, V. J., Ramos, R. F., Angel, R. M. D., & Calleja, J. Q. (2026) · International Conference on e-Education, e-Business, e-Management and e-Learning · doi:10.1109/ic4e69618.2026.11631523
Application of AI Technology in Art Concept Map Based on Intelligent Information Technology
Hu, M. (2026) · Advanced Electromagnetics · doi:10.7716/aem.v15i3.3310
Abril-Jiménez, P., & Mateo, S. S. (2026) · Lecture notes in educational technology · doi:10.1007/978-981-92-1792-2_3
León, M. J. A., Arrieta-Valle, Á. E., Abella, A., del Corral, A. M., Méndez, A., Casino, A., & Madrid, J. (2026) · International Journal of Food Design · doi:10.1386/ijfd_00088_1
Chang, Y., & Khodadadi, A. (2026) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--59096
Evaluating the Performance of Large Language Models in 3D Architectural Modeling
Budhiyanto, A., Harsono, K., & Escandon, S. M. (2026) · INTERNATIONAL CONFERENCE ON EMPATHIC ARCHITECTURE · doi:10.9744/icea.1.7
Generative AI-Driven Architectural and Structural Engineering Designs: A Review
Yujue, W., & Liao, W. (2026) · Journal of Intelligent Construction · doi:10.26599/jic.2026.9180126
Benbelgacem, S., BenBelgacem, M., Guezouli, L., & Seghir, R. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-26031-4_2
Fadlia, A., Abdullah, F., Azizan, A. T., & Adnan, A. M. (2026) · Dewa Ruci Jurnal Pengkajian dan Penciptaan Seni · doi:10.33153/dewaruci.v21i1.8047
Cultural Fidelity in Fine-Tuned AI-Generated Heritage Architecture: A Mixed-Method FrameworkPreprint
Talib, M. W. A., Ibrahim, I., & Ammar, A. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7458687
Şen, E. (2026) · EKSEN Dokuz Eylül Üniversitesi Mimarlık Fakültesi Dergisi · doi:10.58317/eksen.2022584
Chen, Y.-C., & Tsaih, L. S.-J. (2026) · Journal of Asian Architecture and Building Engineering · doi:10.1080/13467581.2026.2742791
Study on the influence of artificial intelligence on the evolution of interior design style
Yan, S., & Zhao, R. (2026) · International Conference on Automation and Computing (ICAC) · doi:10.1109/icac70325.2026.11712295
Chen, W., 方浩, Zheng, Y., Yuan, S., Lin, K., Wu, P., Xie, Y., & Chen, C. (2026) · Scientific Reports · doi:10.1038/s41598-026-77308-9
Wei, Y., & Li, S. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1971021
- Authors
- Tan, L., & Luhrs, M.
- Affiliations
- Swinburne University of Technology (AU)
- Corresponding author
- Tan, Linus
- ORCID
- Tan, Linus
- Venue
- The Design Journal
- Publisher
- Informa UK Limited
- Published
- 2024-05-13
- Volume
- 27
- Issue
- 4
- Pages
- 677-699
- ISSN
- 1460-6925 (ISSN-L)
- 1756-3062
- OpenAlex
- W4396865862
- Cited by
- 70
- References
- 52
- Citations by year
- 2026: 30 · 2025: 35 · 2024: 5
- FWCI
- 260.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Design Journal (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Architecture › Architecture and Computational Design
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Digital Media and Visual Art
- Keywords
- Midjourney, generative AI, architectural design process, divergent thinking, convergent thinking, creative design, text-to-image generation, idea generation, user identification, AI-assisted design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review