La fijación en la ideación de nuevos productos
DOI :
https://doi.org/10.31637/epsir-2025-1162Mots-clés :
fijación, creatividad, ideación, estímulos, inhibidores, heurísticas diseño, pensamiento analógico, ingeniería industrialRésumé
Introducción: La innovación requiere de ideas novedosas, lo cual se ve afectado por la fijación. Los ingenieros industriales son agentes de innovación y es relevante identificar aspectos, que incorporados a su formación profesional permitan fortalecer sus competencias creativas. El estudio busca identificar fuentes de fijación durante la ideación, así como estímulos que puedan reducirla. Metodología: Se realiza un comparativo de las competencias creativas de 28 estudiantes de semestres inferiores y superiores de ingeniería industrial. Se aplica AUT y RAT como herramientas de medición. Se realiza un análisis del impacto de estímulos generados por métodos de ideación: tormenta de ideas, diseño por heurísticas y pensamiento analógico. Resultados: Se observa un incremento en la cantidad, fluidez y variedad del grupo con entrenamiento en procesos convergentes y divergentes, al igual que una reducción en la fijación a partir del uso de estímulos en la fase de ideación. Discusión: El entrenamiento con AUT evidencia un incremento en la cantidad, fluidez y variedad. La aplicación de estímulos como pensamiento analógico y diseño por heurísticas reducen la fijación. Conclusiones: El entrenamiento en pensamiento divergente, asociativo y convergente, la interacción social y la motivación mejoran la cantidad, fluidez y novedad de las ideas reduciendo la fijación.
Téléchargements
Références
Ahn, P. H., Van Swol, L. M., Lu, R. M., Kim, S. J., Park, H. y Moulder, R. G. (2023). Innovative ideas desire earlier communication: Exploring reverse serial-order effect and liberating cognitive constraint for organizational problem-solving. Journal of Behavioral Decision Making, 36(4), e2312. https://doi.org/10.1002/bdm.2312 DOI: https://doi.org/10.1002/bdm.2312
Beaty, R. E., y Kenett, Y. N. (2023). Associative thinking at the core of creativity. Trends in Cognitive Sciences, 27(7), 671-683. https://doi.org/10.1016/j.tics.2023.04.004 DOI: https://doi.org/10.1016/j.tics.2023.04.004
Bong, K. H. y Park, J. (2024). Failure, innovation, and productivity growth: Evidence from a structural model. Innovation: Organization and Management, 26(1), 169-187. https://doi.org/10.1080/14479338.2022.2094933 DOI: https://doi.org/10.1080/14479338.2022.2094933
Boudier, J., Sukhov, A., Netz, J., Le Masson, P. y Weil, B. (2023). Idea evaluation as a design process: Understanding how experts develop ideas and manage fixations. Design Science, 9, e9. https://doi.org/10.1017/dsj.2023.7 DOI: https://doi.org/10.1017/dsj.2023.7
Cash, P., Gonçalves, M. y Dorst, K. (2023). Method in their madness: Explaining how designers think and act through the cognitive co-evolution model. Design Studies, 88, 101219. https://doi.org/10.1016/j.destud.2023.101219 DOI: https://doi.org/10.1016/j.destud.2023.101219
Castanho, A., Guerra, M., Brites, C., Oliveira, J. C. y Cunha, L. M. (2023). Design thinking for food: Remote association as a creative tool in the context of the ideation of new rice-based meals. International Journal of Gastronomy and Food Science, 31, 100664. https://doi.org/10.1016/j.ijgfs.2023.100664 DOI: https://doi.org/10.1016/j.ijgfs.2023.100664
Chen, L., Wang, P., Dong, H., Shi, F., Han, J., Guo, Y., Childs, P. R. N., Xiao, J. y Wu, C. (2019). An artificial intelligence based data-driven approach for design ideation. Journal of Visual Communication and Image Representation, 61, 10-22. https://doi.org/10.1016/j.jvcir.2019.02.009 DOI: https://doi.org/10.1016/j.jvcir.2019.02.009
Fox, J. y Smith, B. (2023). Creativity: An unsolved enigma. Innovations in Education and Teaching International, 1-13. https://doi.org/10.1080/14703297.2023.2222287 DOI: https://doi.org/10.1080/14703297.2023.2222287
Gonçalves, M., Cardoso, C. y Badke-Schaub, P. (2016). Inspiration choices that matter: The selection of external stimuli during ideation. Design Science, 2, e10. https://doi.org/10.1017/dsj.2016.10 DOI: https://doi.org/10.1017/dsj.2016.10
Goucher-Lambert, K., Moss, J. y Cagan, J. (2019). A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli. Design Studies, 60, 1-38. https://doi.org/10.1016/j.destud.2018.07.001 DOI: https://doi.org/10.1016/j.destud.2018.07.001
Gray, C. M., McKilligan, S., Daly, S. R., Seifert, C. M. y Gonzalez, R. (2019). Using creative exhaustion to foster idea generation. International Journal of Technology and Design Education, 29(1), 177-195. https://doi.org/10.1007/s10798-017-9435-y DOI: https://doi.org/10.1007/s10798-017-9435-y
Han, J., Park, D., Forbes, H. y Schaefer, D. (2020). A computational approach for using social networking platforms to support creative idea generation. Procedia CIRP, 91, 382-387. https://doi.org/10.1016/j.procir.2020.02.190 DOI: https://doi.org/10.1016/j.procir.2020.02.190
Hu, M., McComb, C. y Goucher-Lambert, K. (2023). Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging. Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, 37, e8. https://doi.org/10.1017/S0890060423000021 DOI: https://doi.org/10.1017/S0890060423000021
Kenett, Y. N., Gooz, N. y Ackerman, R. (2023). The Role of Semantic Associations as a Metacognitive Cue in Creative Idea Generation. Journal of Intelligence, 11(4), 59. https://doi.org/10.3390/jintelligence11040059 DOI: https://doi.org/10.3390/jintelligence11040059
Khalil, R., Godde, B. y Karim, A. A. (2019). The link between creativity, cognition, and creative drives and underlying neural mechanisms. Frontiers in Neural Circuits, 13,18. https://doi.org/10.3389/fncir.2019.00018 DOI: https://doi.org/10.3389/fncir.2019.00018
Knudsen, M. P., von Zedtwitz, M., Griffin, A. y Barczak, G. (2023). Best practices in new product development and innovation: Results from PDMA’s 2021 global survey. Journal of Product Innovation Management, 40(3), 257-275. https://doi.org/10.1111/jpim.12663 DOI: https://doi.org/10.1111/jpim.12663
Kwon, E., Rao, V. y Goucher-Lambert, K. (2023). Understanding inspiration: Insights into how designers discover inspirational stimuli using an AI-enabled platform. Design Studies, 88, 101202. https://doi.org/10.1016/j.destud.2023.101202 DOI: https://doi.org/10.1016/j.destud.2023.101202
Lezama, R., Gómez-Ariza, C. J. y Bajo, M. T. (2023). Individual differences in semantic priming and inhibitory control predict performance in the Remote Associates Test (RAT). Thinking Skills and Creativity, 50, 101426. https://doi.org/10.1016/j.tsc.2023.101426 DOI: https://doi.org/10.1016/j.tsc.2023.101426
Lucas, B. J. y Mai, K. M. (2022). Illumination and elbow grease: A theory of how mental models of the creative process influence creativity. Organizational Behavior and Human Decision Processes, 168, 104107. https://doi.org/10.1016/j.obhdp.2021.104107 DOI: https://doi.org/10.1016/j.obhdp.2021.104107
Luo, J., Sarica, S. y Wood, K. L. (2021). Guiding data-driven design ideation by knowledge distance. Knowledge-Based Systems, 218, 106873. https://doi.org/10.1016/j.knosys.2021.106873 DOI: https://doi.org/10.1016/j.knosys.2021.106873
Masclet, C., Boujut, J. F., Poulin, M. y Baldaccino, L. (2021). A socio-cognitive analysis of evaluation and idea generation activities during co-creative design sessions supported by spatial augmented reality. International Journal of Design Creativity and Innovation, 9(1), 20-40. https://doi.org/10.1080/21650349.2020.1854122 DOI: https://doi.org/10.1080/21650349.2020.1854122
Murphy, L. R., Daly, S. R. y Seifert, C. M. (2023). Idea characteristics arising from individual brainstorming and design heuristics ideation methods. International Journal of Technology and Design Education, 33(2), 337-378. https://doi.org/10.1007/s10798-021-09723-0 DOI: https://doi.org/10.1007/s10798-021-09723-0
Peláez-Alfonso, J. L., Pelegrina, S. y Lechuga, M. T. (2020). Normative data for 102 Spanish remote associate problems and age-related differences in performance. Psicologica Journal, 41(1), 39-65. https://doi.org/10.2478/psicolj-2020-0003 DOI: https://doi.org/10.2478/psicolj-2020-0003
Radel, R., Davranche, K., Fournier, M. y Dietrich, A. (2015). The role of (dis)inhibition in creativity: Decreased inhibition improves idea generation. Cognition, 134, 110-120. https://doi.org/10.1016/j.cognition.2014.09.001 DOI: https://doi.org/10.1016/j.cognition.2014.09.001
Rampa, R. y Agogué, M. (2021). Developing radical innovation capabilities: Exploring the effects of training employees for creativity and innovation. Creativity and Innovation Management, 30(1), 211-227. https://doi.org/10.1111/CAIM.12423 DOI: https://doi.org/10.1111/caim.12423
Siemon, D. (2023). Let the computer evaluate your idea: evaluation apprehension in human-computer collaboration. Behaviour and Information Technology, 42(5), 459-477. https://doi.org/10.1080/0144929X.2021.2023638 DOI: https://doi.org/10.1080/0144929X.2021.2023638
Sternberg, R. J. (2020). Componential Models of Creativity. En M. A. Runco y S. R. Pritzker (Eds.), Encyclopedia of creativity (pp. 180-187). https://doi.org/10.1016/B978-0-12-809324-5.23634-1 DOI: https://doi.org/10.1016/B978-0-12-809324-5.23634-1
Stevenson, C. E., Kleibeuker, S. W., de Dreu, C. K. W. y Crone, E. A. (2014). Training creative cognition: Adolescence as a flexible period for improving creativity. Frontiers in Human Neuroscience, 8, 827. https://doi.org/10.3389/fnhum.2014.00827 DOI: https://doi.org/10.3389/fnhum.2014.00827
Treviño-Elizondo, B. L. y García-Reyes, H. (2022). What does Industry 4.0 mean to Industrial Engineering Education? Procedia Computer Science, 217, 876-885. https://doi.org/10.1016/j.procs.2022.12.284 DOI: https://doi.org/10.1016/j.procs.2022.12.284
Verma, S. K. y Punekar, R. M. (2023). Gaining insights into the creative process of designing nature inspired product forms. International Journal of Technology and Design Education, 33(3), 1007-1035. https://doi.org/10.1007/s10798-022-09749-y DOI: https://doi.org/10.1007/s10798-022-09749-y
World Intellectual Property Organization (WIPO). (2023). Global innovation Index 2023; innovation in the face of uncertainty. https://doi.org/10.34667/tind.48220
Wu, Y., Zhou, C. y Zhi, J. (2023). Alleviating design fixation with Alternative Uses Task: The role of an integrated and design-independent intervention in promoting creative incubation. Thinking Skills and Creativity, 50, 101406. https://doi.org/10.1016/j.tsc.2023.101406 DOI: https://doi.org/10.1016/j.tsc.2023.101406
Xiao, Y. y Jiang, C. (2023). Industrial designers’ thinking in the stage of concept generation for social design: themes, strategies and modes. International Journal of Technology and Design Education, 33(1), 281-311. https://doi.org/10.1007/s10798-022-09732-7 DOI: https://doi.org/10.1007/s10798-022-09732-7
Youmans, R. J. y Arciszewski, T. (2014). Design fixation: Classifications and modern methods of prevention. Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, 28(2), 129-137. https://doi.org/10.1017/S0890060414000043 DOI: https://doi.org/10.1017/S0890060414000043
Yuan, H., Lu, K., Yang, C. y Hao, N. (2021). Examples facilitate divergent thinking: The effects of timing and quality. Consciousness and Cognition, 93, 103169. https://doi.org/10.1016/j.concog.2021.103169 DOI: https://doi.org/10.1016/j.concog.2021.103169
Téléchargements
Publiée
Comment citer
Numéro
Rubrique
Licence
© Claudia Ayora Piedrahita 2025
Ce travail est disponible sous licence Creative Commons Attribution - Pas d'Utilisation Commerciale - Pas de Modification 4.0 International.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Non Commercial, No Derivatives Attribution 4.0. International (CC BY-NC-ND 4.0.), that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
