The Relationship between Creativity and Cognitive Aactions in Design Process

Resumen

Esta investigación explora la compleja relación entre la creatividad y los procesos cognitivos durante el proceso de diseño, centrándose en los mecanismos que estimulan la expansión conceptual y los cambios para comprender cómo surgen las ideas creativas. El estudio contó con 25 participantes que emplearon el protocolo de pensamiento en voz alta para abordar una tarea de diseño específica. Las entropías linkográficas derivadas de los datos verbales recogidos durante las sesiones de diseño se emplearon para identificar los movimientos críticos (MC) y sus correspondientes decisiones de diseño. Las redes de MC se analizaron y codificaron utilizando la ontología Función-Comportamiento-Estructura (FBS) para clasificar las acciones de diseño. Además, se realizó un análisis semántico
para clasificar los tipos de transformaciones de diseño como expansiones conceptuales o cambios conceptuales. Los resultados revelan que los cambios conceptuales se logran únicamente a través de la síntesis, mientras que las expansiones conceptuales sirven como elementos fundacionales para estos cambios. Las acciones cognitivas, en concreto las reformulaciones y evaluaciones, facilitan las ampliaciones conceptuales y contribuyen a los cambios conceptuales en varios niveles. La eficacia y el tipo de estas transformaciones conceptuales están influidos por la distancia entre los conjuntos de conocimientos utilizados durante las acciones cognitivas. La formulación y el análisis no contribuyen a fomentar las transformaciones conceptuales. El estudio aporta a una comprensión
más profunda de los procesos cognitivos que subyacen a la creatividad en el diseño, dando ideas tanto para la enseñanza del diseño como para la práctica profesional.

Palabras clave

cambio conceptual

creatividad

expansión conceptual

linkografía

ontología función-comportamiento-estructura (FBS)

pensamiento de diseño

procesos cognitivos

Citas

Ashrafganjouei, M. & Gero, J. S. (2021). Exploring the effect of a visual constraint on students’ design cognition. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 35(1), 3-19. https://doi.org/10.1017/S0890060420000335

Boden, M. (1995). Creativity and unpredictability. Stanford Humanities Review, 4(2), 123-139. https://dl.acm.org/doi/10.5555/212154.212171

Boden, M. A. (1998). Creativity and artificial intelligence. Artificial Intelligence, 103(1), 347-356.https://doi.org/10.1016/S0004-3702(98)00055-1

Chiu, I. & Shu, L. H. (2012). Investigating effects of oppositely related semantic stimuli on design concept creativity. Journal of Engineering Design, 23(4), 271-296. https://doi.org/10.1080/09544828.2011.603298

Cross, N. (1997a). Creativity in design: analyzing and modelling the creative leap. Leonardo, 30(4), 311–317. https://doi.org/10.2307/1576478

Cross, N. (1997b). Descriptive models of creative design: Application to an example. Design Studies, 18(4), 427–455. https://doi.org/10.1016/S0142-694X(97)00010-0

Cross, N. (2006). Designerly Ways of Knowing. Springer.

Cross, N. (2008). Engineering design methods: Strategies for product design (4th ed.). John Wiley& Sons.

Ericsson, K. A. (1998). The Scientific Study of Expert Levels of Performance: general implications for optimal learning and creativity. High Ability Studies, 9(1), 75-100. https://doi.org/10.1080/1359813980090106

Ericsson, K. A. (2006). Protocol Analysis and Expert Thought: Concurrent Verbalizations of Thinking during Experts’ Performance on Representative Tasks. In K. A. Ericsson, N. Charness, P. J. Feltovich, & R. R. Hoffman (Eds.), The Cambridge Handbook of Expertise and Expert Performance (pp. 223–242). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511816796.013

Fakhra, A. J. (2012). Conceptual model of design creativity: Fostering creative cognition in architecture and design pedagogy (Order No. 3570129) [Doctoral dissertation, Illinois Institute of Technology]. ProQuest Dissertations & Theses Global. Finke R. A., Ward T. B. & Smith S. M. (1992). Creative Cognition: Theory, Research, and Applications. MIT Press. https://doi.org/10.7551/mitpress/7722.001.0001

Fu, K., Chan, J., Cagan, J., Kotovsky, K., Schunn, C. & Wood, K. (2013). The meaning of “near” and “far”: the impact of structuring design databases and the effect of distance of analogy on design output. Journal of Mechanical Design, 135(2). https://doi.org/10.1115/1.4023158

Gero, J. & Kannengiesser, U. (2007). A function–behavior–structure ontology of processes. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 21(4), 379-391. https://doi.org/10.1017/S0890060407000340

Gero, J. S. (1990). Design prototypes: A knowledge representation schema for design. AI Magazine, 11(4), 26-36. https://doi.org/10.1609/aimag.v11i4.854

Gero, J. S. & Milovanovic, J. (2020). A framework for studying design thinking through measuring designers’ minds, bodies and brains. Design Science, 6, e19. https://doi.org/10.1017/dsj.2020.15

Goel, V. (1995). Sketches of Thought. Cambridge. MIT Press. https://doi.org/10.7551/mitpress/6270.001.000

Goldschmidt G. (2014). Linkography: Unfolding the design process. MIT Press. https://doi.org/10.7551/mitpress/9455.001.0001

Gursoy, B. (2010). The cognitive aspects of model-making in architectural design. [Master’s thesis, Middle East Technical University]. OpenMETU https://open.metu.edu.tr/handle/11511/19344

Hampton, J. A. (1987). Inheritance of attributes in natural concept conjunctions. Memory and Cognition, 15, 55–71. https://doi.org/10.3758/BF03197712

Ho, C. H. (2001). Some phenomena of problem decomposition strategy for design thinking: differences between novices and experts. Design Studies, 22(1), 27-45. https://doi.org/10.1016/S0142-694X(99)00030-7

Hocking, I. & Vernon, D. (2017) A bridge too far: conceptual distance and creative ideation. Creativity: Theories, Research, Applications, 4(2), 333-352. https://doi.org/10.1515/ctra-2017-0017

Jia, L., Becattini, N., Cascini, G. & Tan, R. (2020). Testing ideation performance on a large set of designers: effects of analogical distance. International Journal of Design Creativity and Innovation, 8(1), 31-45. https://doi.org/10.1080/21650349.2019.1618736

Kan, J. W. T. & Gero, J. S. (2009). Using the FBS Ontology to Capture Semantic Design Information in Design Protocol Studies. In J. McDonnell, & P. Lloyd (Eds.), About: Designing. Analysing Design Meetings (pp. 213-229). CRC Press. https://doi.org/10.1201/9780429182433-16

Kaya, A. N. & Cikis, S. (2017). Links between creative performance and post-formal thought. Creativity. Theories–Research-Applications, 4(1), 116-136. https://doi.org/10.1515/ctra-2017-0006

Koestler, A. (1964). The act of creation. Arkana/Penguin.

Monache, S. D. & Rocchesso, D. (2016, October 4-6). Cooperative sound design: A protocol analysis [Paper presentation]. AM ‘16: Audio Mostly 2016. https://doi.org/10.1145/2986416.2986424

Noushad, B., Van Gerven, P. W. M. & de Bruin, A. B. H. (2023). Twelve tips for applying the thinkaloud method to capture cognitive processes. Medical Teacher, 46(7), 892–897. https://doi.org/10.1080/0142159X.2023.2289847

Sawyer, R. K. (2006). Explaining Creativity: the science of human innovation. Oxford University Press. https://doi.org/10.1093/oso/9780195161649.001.0001

Schön, D. A. (1983). The Reflective Practitioner: How Professionals Think in Action. Basic Books.

Shih, Y. T. & Sher, W. (2020). Designers’ Reflections on Two Methods of Using Design Media for Learning Design Processes. Computer-Aided Design and Applications, 17(6), 1215-1228. https://doi.org/10.14733/cadaps.2020.1215-1228

Someren, M., Barnard, Y. & Sandberg, J. (1994). The Think Aloud Method: A Practical Guide to Modelling Cognitive Processes. Academic Press.

Tang, H., Chen, Y., and Gero, J. (2012) The Influence of Design Methods on the Design Process: Effect of use of scenario, brainstorming, and synectics on designing, in Israsena, P., Tangsantikul,J. and Durling, D. (eds.), Research: Uncertainty Contradiction Value - DRS International Conference 2012, 1-4 July, Bangkok, Thailand. https://dl.designresearchsociety.org/drs-conference-papers/drs2012/researchpapers/134

van der Lugt, R. (2001) Sketching in design idea generation meetings, [PhD dissertation, Delft University of Technology]. TU Delft Repository. https://resolver.tudelft.nl/uuid:7bd2639b-26ef-4550-8675-94bda367a102

van der Lugt, R. (2003, August 19-21). Relating the quality of the idea generation process to the quality of the resulting design ideas [Paper presentation]. DS 31: Proceedings of ICED 03, the 14th International Conference on Engineering Design.

Wan, W. & Chiu, C. Y. (2002). Effects of novel conceptual combination on creativity. Journal of Creative Behaviour, 36, 227–241. https://doi.org/10.1002/j.2162-6057.2002.tb01066.x

Ward, T. B., Patterson, M. J., Sifonis, C. M., Dodds, R. A. & Saunders, K. N. (2002). The role of graded category structure in imaginative thought. Memory and Cognition, 30, 199–216. https://doi.org/10.3758/BF03195281

Ward, T. B., Smith, S. M. & Vaid, J. (1997). Conceptual structures and processes in creative thought. In T.B. Ward, S. M. Smith, & J. Vaid (Eds.), Creative thought: An investigation of conceptual structures and processes (pp. 1–27). American Psychological Association. https://doi.org/10.1037/10227-001

Warr, A. M. (2007). Understanding and supporting creativity in design [Doctoral dissertation, University of Bath]. The University of Bath’s research portal. https://researchportal.bath.ac.uk/en/studentTheses/understanding-and-supporting-creativity-in-design

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