Automating Analogical Reasoning: A Wizard of Oz study on the benefits and pitfalls of a sketch-based AI image generator for design

Baudoux, Gaëlle; Goucher-Lambert, Kosa

doi:10.1007/978-3-031-71918-9_2

Paper published in a book (Scientific congresses and symposiums)

Automating Analogical Reasoning: A Wizard of Oz study on the benefits and pitfalls of a sketch-based AI image generator for design

Baudoux, Gaëlle; Goucher-Lambert, Kosa

2024 • In Design Computing and Cognition’24

Peer reviewed

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https://hdl.handle.net/2268/318800

DOI
10.1007/978-3-031-71918-9_2

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Abstract :

[en] Our research vision is to stimulate design ideation through the creative power of analogical reasoning with the automatic delivery of impactful stimuli; sending project-appropriate inspiration to automatically render images during the preliminary stages of design. Recent advances in artifi- cial intelligence opens this up. However, many questions remain about how designers may engage with such interactions. This paper employs a Wizard of Oz protocol to immerse 9 architects for a 4 hours residential building design task. Collected data is analyzed to study questions such as: what elements are extracted, from which relevant images, with what need, and when and how are they reintegrated into design? Our results show that designers use the “AI generated” images for inspiration and to evaluate initial ideas. They extract general form related attributes and more detailed function related ones, which they reintegrate by direct transposition. Desi- gners favor general ambiences images over design details or plans.

Research Center/Unit :

Co-Design Lab

Disciplines :

Civil engineering
Architecture
Theoretical & cognitive psychology

Author, co-author :

Baudoux, Gaëlle ; Université de Liège - ULiège > Département ArGEnCo > Lucid - Lab for User Cognition & Innovative Design ; UCB - University of California Berkeley > Mechanical engineering

Goucher-Lambert, Kosa; UC Berkeley [US-CA] > Mechanical Engineering > Co-Design Lab

Language :

English

Title :

Automating Analogical Reasoning: A Wizard of Oz study on the benefits and pitfalls of a sketch-based AI image generator for design

Publication date :

2024

Event name :

Eleventh International Conference on Design Computing and Cognition (DCC)

Event place :

montréal, Canada

Event date :

8-10 juillet 2024

Audience :

International

Main work title :

Design Computing and Cognition’24

Publisher :

Springer

Peer review/Selection committee :

Peer reviewed

Funders :

BAEF - Belgian American Educational Foundation
WBI - Wallonie-Bruxelles International

Available on ORBi :

since 28 May 2024

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Bibliography

Safin, S., Juchmes, R., Leclercq, P.: Use of graphical modality in a collaborative design distant setting. Work 41(Supplement 1), 3484-3493 (2012)
Baudoux, G., Safin, S.: Study of the multi-instrumented reflective conversation activity in preliminary design. In: Design Sciences (in submission)
Falzon, P.: Ergonomie. Presses Universitaires de France, Paris (2004)
Safin, S.: Processusd’externalisation graphi quedansles activités cognitives complexes:lecas de l’esquisse numérique en conception architecturale individuelle et collective. Ph. D. thesis, University of Liège, Belgium (2011)
Casakin, H.: The role of analogies and visual displays in architectural design, unpublished doctoral dissertation, Technion, Haifa (1997)
Casakin, H., Goldschmidt, G.: Expertise and the use of visual analogy:implications for design education. Des. Stud. 20, 153-175 (1999)
Ball, L. J., Christensen, B. T.: Analogical reasoning and mental simulation in design: wo strategies linked to uncertainty resolution. Des. Stud. 30, 169-186 (2009)
Ball, L. J., Christensen, B. T.: Advancing an understanding of design cognition and design metacognition: progress and prospects. Des. Stud. 65, 35-59 (2019)
Visser, W.: Conception individuelle et collective. Approche de l’ergonomie cognitive. Le Chesnay, France: INRIA- Institut national de la Recherche en Informatique et Automatique (2001)
Darses, F.: Processus psychologiques de résolution collective des problèmes de conception: contribution de la psychologie ergonomique. Document de synthèse en vue d’obtenir une Habilitation à Diriger des Recherches. Paris: Université Paris V- René Descartes (2004)
Jiang, S., Hu, J., Wood, K. L., Luo, J.: Data-driven design-by-analogy: state-of-the-art and future directions. J. Mech. Des. 144(2), 020801 (2022)
Ball, L. J., Christensen, B. T.: Analogical reasoning and mental simulation in design: two strategies linked to uncertainty resolution. In: About Designing, pp. 137-152. CRC Press (2022)
Jang, S.: The effect of image stimulusoncon ceptual combination in the design idea generation process. Arch. Des. Res. 27(4), 59-72 (2014)
Kwon, E., Rao, V., Goucher-Lambert, K.: Understanding inspiration: insights into how designers discover inspirational stimuli using an AI-enabled platform. Des. Stud. 88, 101202 (2023)
Goucher-Lambert, K., Cagan, J.: Crowdsourcing inspiration: using crowd generated inspirational stimuli to support designer ideation. Des. Stud. 61, 1-29 (2019)
Leclercq, P., Heylighen, A.: 5, 8 Analogiesperhour. Adesigner’sviewonana logical reasoning. In: Paper presented at the AID’02 Artificial intelligence in design (2002)
Bonnardel, N.: Towards understanding and supporting creativity in design: analogies in a constrained cognitive environment. Knowl. -Based Syst. 13, 505-513 (2000)
Le Coguiec, É.: Pour une compréhension de la conception architecturale: étude réflexive de la conception du projet MN 12 et de ses références. Ph. D. thesis, Université du Québec, Montréal, Canada (2012)
Jaruga-Rozdolska, A.: Artificial intelligence as part of future practices in the architec’s work: MidJourney generative tool as part of a process of creating an architectural form. Architectus, 3(71) (2022)
Casakin, H., Wodehouse, A.: A systematic review of design creativity in the architectural design studio. Buildings 11(1), 31 (2021)
Paananen, V., Oppenlaender, J., Visuri, A.: Using Text-to-Image Generation for Architectural Design Ideation. Preprint (2023)
Beyan, E. V. P., Rossy, A. G. C.: A review of AI image generator: influences, challenges, and future prospects for architectural field. J. Artif. Intell. Archit. 2(1), 53-65 (2023)
Bonnardel, N.: Activités de conception et créativité: de l’analyse des facteurs cognitifs à l’assistance aux activités de conception créatives. Le travail humain 72(1), 5-22 (2009)
Hsing-Chi Hwang, A.: Too late to be creative? AI-empowered tools in creative processes. In: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI EA‘22). Association for Computing Machinery, New York, NY, USA, Article 38, 1-9 (2022)
Vinchon, F., et al.: Artificial intelligence & creativity: a manifesto for collaboration. J. Creat. Behav. (2023)
Baudoux, G.: The benefits and challenges of AI image generators for architectural ideation: study of an alternative human-machine co-creation exchange based on sketch recognition. Int. J. Archit. Comput. (in press)
Baudoux, G., Leclercq, P.: Experimenting with a new proposal for digital design instrumentation: a WizardofOZmethodtostudytheimpactonactivity. In:41thInternationalConference onEducationandResearchinComputerAidedArchitecturalDesigninEurope, Gratz, Austria (2023)
Dahlbäck, N., Jönsson, A., Ahrenberg, L.: Wizard of Ozstudies—whyandhow. Knowl. -Based Syst. 6(4), 258-266 (1993)
Browne, J. T.: Wizard of oz prototyping for machine learning experiences. In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1-6 (2019)
Rietz, F., Sutherland, A., Bensch, S., Wermter, S., Hellström, T.: WoZ4U: an open-source wizard-of-oz interface for easy, efficient and robust HRI experiments. Front. Robot. AI 8 (2021)
Anastassova, M., Mégard, C., Burkhardt, J. M.: Prototype evaluation and user-needs analysisin the early design of emerging technologies. In: Jacko, J. A. (eds.) HCI 2007, Part I. LNCS, vol. 4550, pp. 383-392. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-731054_42
Safin, S., Delfosse, V., Leclercq, P.: Mixed-reality prototypes to support early creative design. In: Dubois, E., Gray, P., Nigay, L. (eds.) The Engineering of Mixed Reality Systems. Springer, London (2010). https://doi.org/10.1007/978-1-84882-733-2_21
Heylighen, A., Martin, G.: Design Computing and Cognition, That Elusive Concept of Concept in Architecture, 57-76 (2004)
Baudoux, G., Leclercq, P.: Collaborative design: evolution of project’s information and role of the graphic interactions. In: 10th International Conference on Design Computing and Cognition, Glasgow, UK (2022)
Gentner, D., Kurtz, K. J.: Relations, objects, and the composition of analogies. Cogn. Sci. 30(4), 609-642 (2006)
Goel, A. K.: Design, analogy, and creativity. IEEE Expert 12(3), 62-70 (1997)