Randomness and control in design processes: An empirical study with architecture students

Belmonte, María‐Victoria; Millán, Eva; Ruiz-Montiel, Manuela; Badillo, Reyes; Boned, Javier; Mandow, Lawrence; Pérez-de-la-Cruz, José-Luís

doi:10.1016/j.destud.2014.01.002

Cited by 11 publications

(11 citation statements)

References 13 publications

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“…Regarding the number of participants used to evaluate some aspect of a generative approach, similar studies have involved various kinds of surveys or workshops with a sample size of: 150 [ 54 ], 95 [ 71 ], 62 [ 51 ], 60 [ 40 ], 41 [ 41 ], 30 [ 56 ], 26 [ 31 ], 12 [ 20 ], 10 [ 45 ], 8 [ 49 ], 2 [ 57 ], and 1 [ 11 , 32 ]. There seems to be a trade-off between how many participants can realistically be obtained and how involved the survey is.…”

Section: Methodsmentioning

confidence: 99%

“…For instance, two of the analyzed studies with the most participants involved only one binary question, namely, whether a generated shape was a Harley-Davidson or not [ 54 ], and whether emulations of retinal vasculatures seemed realistic or not [ 71 ]. Another challenging trade-off to navigate is whether to include only a very specific group of participants (e.g., particular groups of students [ 41 , 45 , 51 , 56 ]) or a more diverse distribution. This work’s survey is not as involved as an in-depth and hands-on workshop.…”

Section: Methodsmentioning

confidence: 99%

“…Randomness has been integrated into different tools designed to support ideation because it can lead to potentially surprising solutions that go beyond preconceived ideas. Nonetheless, Belmonte et al [ 51 ] suggested allowing for an interactive balance between generative randomness and control. For instance, Krish [ 52 ] implemented constrained random variations of CAD models for shape exploration.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Krish [ 52 ] implemented constrained random variations of CAD models for shape exploration. Genetic algorithms and Shape Grammars have been used to integrate randomness within the ideation process [ 51 ].…”

Section: Introductionmentioning

confidence: 99%

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The perceived value of human-AI collaboration in early shape exploration: An exploratory assessment

Arias-Rosales

2022

PLoS ONE

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As a vital element of early shape exploration, divergence can be time-consuming and challenging, with iterative cycles where idea fixation and creative blocks must be overcome for fuzzy ideas to be fully expanded and understood. Despite interesting tools that have been developed for this purpose, some important challenges remain, as it appears that many designers still prefer simple freehand sketching and tend to defer the use of computational tools to later stages. This work presents an exploratory assessment of the perceived value of a new tool, Shapi, developed to assist early shape exploration by addressing some of the pitfalls reported in the literature. Shapi is envisioned as an autonomous assistant that provides local and global shape variations in the form of rough sketches based on an initial human sketch and interactive cycles. These shape variations are What-If scenarios and cognitive facilitators that may spark new ideas or enable a deeper understanding of the shape and the identification of interesting patterns. Shapi’s capabilities are explored in a diverse set of case studies with different purposes: nine implementations in industrial design, three in graphic design, and five with open-ended artistic purposes. These implementations are then used in a survey about initial perceived value in which the majority gave high ratings in terms of exploration (75.5% ≥ 4 out of 5), interpretation (83.7% ≥ 4), adaptation (77.6% ≥ 4), value (73.5% ≥ 4), creativity (69.4% ≥ 4), and general interest in the tool (79.6% ≥ 4). This work brings insight into promising functionalities, opportunities, and risks in the intersection between artificial intelligence, design, and art.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The perceived value of human-AI collaboration in early shape exploration: An exploratory assessment

Arias-Rosales

2022

PLoS ONE

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“…The third type of learning experience enables students to build and link their understanding of design knowledge and design activity with the formulation and implementation of GAs and other evolutionary systems. In this process, students learn how GAs can support design practice (Belmonte et al, 2014;Bernal, Haymaker & Eastman, 2015). The fourth learning experience seeks to develop programming skills and more broadly, computational thinking for design.…”

Section: Learning Evolutionary Designmentioning

confidence: 99%

Rehashing Design through Evolutionary Computation

Montiel¹,

Sosa²

2019

Insider Knowledge - Proceedings of the Design Research Society Learn X Design Conference, 2019

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Evolutionary computation has made its way in to design curricula in the last two decades. However, questions remain on how evolutionary computation can be made more accessible to design students and its potential to transform design thinking and learning beyond optimisation. This paper examines how the formulation and implementation of evolutionary systems can contribute to students' learning of historical and theoretical aspects of design. The paper reviews evolutionary computation in design and presents genetic algorithms (GAs) as a design tool. Opportunities are identified on how to teach design students to create and implement basic GAs. Strategies that can help design educators to identify and build on these opportunities are discussed. Design activities aimed at applying GAs to rehash the learning of historical and theoretical aspects of design are described.

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Exploring the architectural design process assisted in conventional design studio: a systematic literature review

Hettithanthri

Hansen

Munasinghe

2022

Int J Technol Des Educ

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The architectural design process is a unique process that has its inherent phases with specific activities within. Exploring and identifying the real design process which occurs within the conventional design studio is the key focus of this study. This study was carried out by adopting systematic literature review methodology. The most relevant articles for the review were identified by applying an inclusion and exclusion criteria based on a rubric developed to find answers to the research questions developed. For the literature review, 50 articles were selected by eliminating the non-related and non-suitable articles based on the rubric developed. The data was analysed by the content analysis based on the Grounded Theory. Grounded Theory was applied to generate a theory based on the data or findings. The results have given data to draw a Design Process model which is specific for architectural design studio practice. It is evident that the lack of integrating the intended user in the design process has impacted the solutions. Furthermore, many scholars have discussed the architectural design process, but there is a significant gap in discussing the involvement of users and context during the design process.

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Randomness and control in design processes: An empirical study with architecture students

Cited by 11 publications

References 13 publications

The perceived value of human-AI collaboration in early shape exploration: An exploratory assessment

The perceived value of human-AI collaboration in early shape exploration: An exploratory assessment

Rehashing Design through Evolutionary Computation

Exploring the architectural design process assisted in conventional design studio: a systematic literature review

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