Advertisement

A Series of Recommendations for Industrial Design Conceptualizing Based on Emotional Design

  • David Cortés Sáenz
  • Carlos Eduardo Díaz Domínguez
  • Pere Llorach-Massana
  • Ainoa Abella García
  • Juan Luis Hernández Arellano
Chapter
Part of the Management and Industrial Engineering book series (MINEN)

Abstract

Emotional design, since its birth in the 70s, has developed into becoming one of the main forces that drive design nowadays. The capability of understanding the user’s feelings and emotions is considered to be a pivotal part of the design process. More than ever before, industrial designers need to consider the emotional side of consumers to create meaningful and successful products. The present study created a series of recommendations for Industrial Design Conceptualizing based on Emotional Design. These were developed through the analysis of several design emotion-based methodologies, conceptualization theories, and emotional design itself. The recommendations were developed to be applied in the conceptualization phase, for it is at this stage of the design process when the designer gives shape to the initial concept that will ultimately become a product. After its completion, to validate the recommendations, these were handed to a group of eight industrial design students who applied them on one of their academic projects. The results of their works were subjected to analysis to determine the impact on their projects. Students were also asked their opinion about emotional design and the recommendations they were given. Principal results evidence that only the 15% of the students knew about emotional design before being introduced by the present research. Five out of eight of the resulting projects managed to incorporate values and concepts related to emotional design. It reflects that the resulting ultimate products can be influenced by the capabilities of designers to use the recommendations. It could be concluded that the recommendations could be of great interest for industrial design to transmit emotions to products which could satisfy consumers emotional desires.

Keywords

Conceptualization Emotional design Design conceptualization Industrial design Design process 

References

  1. Álvarez, A., Pérez, R., Aguilera, O., & Riba, C. (2008). Análisis conceptual del diseño de gradas a través del método Kano. Rev Ciencias Técnicas Agropecu, 17, 31–35.Google Scholar
  2. Aumer-Ryan, P. (2005). Understanding emotional design: origins, concepts and implications.Google Scholar
  3. Beitia, A., Vergara, M., González de Heredia, A., Beitia, A. (2009). Ingeniería Kansei: La Influencia de la Escala en la Aplicación del Diferencial Semántico. In: XIII Congreso Internacional de Ingeniería de Proyectos. Badajoz, pp. 1811–1822Google Scholar
  4. Bradley, M., & Lang, P. (1994). Measuring emotion: the self-assessment manikin and the semantic differential. Journal of Behaviour Psychiatry, 25, 44–59.Google Scholar
  5. Calvillo Cortés, A. B., & Falcón Morales, L. E. (2016). Emotions and the urban lighting environment. SAGE Open.  https://doi.org/10.1177/2158244016629708.CrossRefGoogle Scholar
  6. Carbon, C. C., Faerber, S. J., Gerger, G., Forster, M., & Leder, H. (2013). Innovation is appreciated when we feel safe: On the Situational dependence of the appreciation of innovation. International Journal of Design, 7, 43–51.Google Scholar
  7. Crilly, N. (2011). Do users know what designers are up to? Product experience and the inference of persuasive intentions. International Journal of Design, 5, 1–15.Google Scholar
  8. Desmet, P., & Fokkinga, S. (2013). Ten ways to design for disgust, sadness, and other enjoyments: A design approach to enrich product experiences with negative emotions. International Journal of Design, 7, 19–36.CrossRefGoogle Scholar
  9. Desmet, P, van Erp J, Karlsson MA (2008) Design and Emotion Moves. Cambridge Scholars PublishingGoogle Scholar
  10. Desmet, P., Wassink, P., & Susa Group (2012). PrEmo (Product Emotion Measurement Instrument). http://studiolab.ide.tudelft.nl/diopd/library/tools/premo-product-emotion-measurement-instrument/. Accessed 16 Feb 2017
  11. Forlizzi, J., Saensuksopa, T., Salaets, N., Shomin, M., Mericli, T., Hoffman, G. (2016). Let’s be honest: A controlled field study of ethical behavior in the presence of a robot. In: 25th IEEE International Symposium on Robot and Human Interactive Communication, ROMAN, pp. 769–774.Google Scholar
  12. Gray, J. R., Braver, T. S., & Raichle, M. E. (2002). Integration of emotion and cognition in the lateral prefrontal cortex. Proceedings of the National Academy of Sciences of the United States of America, 99, 4115–4120.  https://doi.org/10.1073/pnas.062381899.CrossRefGoogle Scholar
  13. Hashim, A. M., & Dawal, S. Z. M. (2012). Kano model and QFD integration approach for ergonomic design improvement. Procedia Social and Behavioural Sciences, 57, 22–32.  https://doi.org/10.1016/j.sbspro.2012.09.1153.CrossRefGoogle Scholar
  14. Hepach, R. (2011). Conceptualizing emotions along the dimensions of valence, arousal, and communicative frequency—implications for social-cognitive tests and training tools. Frontiers in Psychology, 2, 1–9.  https://doi.org/10.3389/fpsyg.2011.00266.CrossRefGoogle Scholar
  15. Hirata, R., Nagamachi, M., Ishihara, S. (2004). Satisfying emotionals needs of the beer consumer through kansei engineering study. In: Proceedings of the 7th International QMOD Conference. University of LinkÖping and ITESM.Google Scholar
  16. Kalashnikov, V., Kalashnykova, N. I., Acosta Sánchez, Y. G., & Kalashnikov, V. V. (2014). Affective engineering in application to bi-level human migration models. In J. Watada, H. Shiizuka, K.-P. Lee, T. Otani, & C.-P. Lim (Eds.), Industrial Applications of Affective Engineering (pp. 27–38). Cham: Springer International Publishing.CrossRefGoogle Scholar
  17. LeDoux, J. (2000). Emotion circuits in the Brain. Annual Review of Neuroscience, 23, 155–184.CrossRefGoogle Scholar
  18. Lloyd, P., Hekkert, P., van Dijk, M. (2006). Vision in product design.Google Scholar
  19. Mondragón Donés, S., Vergara Monedero, M., & Company Calleja, P. (2006). Diferencial Semántico: Una Herramienta al Servicio del Diseño Emocional de Máquinas Herramientas. XVIII Congreso Internacional de Ingeniería Gráfica (pp. 124–125). Barcelona: España.Google Scholar
  20. Nepal, B., Yadav, O. P., & Murat, A. (2010). A fuzzy-AHP approach to prioritization of CS attributes in target planning for automotive product development. Expert Systems with Applications, 37, 6775–6786.  https://doi.org/10.1016/j.eswa.2010.03.048.CrossRefGoogle Scholar
  21. Norman, D.A. (2004). Emotional design: why we love (or hate) everyday things.Google Scholar
  22. Norman, D.A. (2014). Emotional design: People and things. In: jnd.org. https://www.jnd.org/dn.mss/emotional_design_pe.html. Accessed 1 May 2014
  23. Roberts, K. (2005). Love marks, the future beyond brands. Power House BooksGoogle Scholar
  24. Sacharin, V., Schlegel, K., Scherer, K. (2012). Geneva emotion wheel rating study. GenevaGoogle Scholar
  25. Shahin, A. (2004). Integration of FMEA and the Kano model: An exploratory examination. International Journal of Quality and Reliability Management 21, 731–746.  https://doi.org/10.1108/02656710410549082CrossRefGoogle Scholar
  26. Shen, X. X., Tan, K. C., & Xie, M. (2000). An integrated approach to innovative product development using Kano’s model and QFD. European Journal of Innovation Management, 3, 91–99.  https://doi.org/10.1108/14601060010298435.CrossRefGoogle Scholar
  27. Spillers, F. (2004). Emotion as a cognitive artifact and the design implications for products that are perceived as pleasurable. Experience Dynamics https://www.experiencedynamics.com/about. Accessed 13 June 2014
  28. Spillers, F., & Asimakopoulos, S. (2014). Does social user experience improve motivation for runners? A Diary Study Comparing Mobile Health Applications. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8520 LNCS pp. 358–369.  https://doi.org/10.1007/978-3-319-07638-6_35Google Scholar
  29. Tractinsky, N. (1997). Aesthetics and apparent usability: Empirically assessing cultural and methodological issues. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems. ACM, Atlanta, pp. 115–122Google Scholar
  30. Tractinsky, N., Katz, A. S., & Ikar, D. (2000). What is beautiful is usable. Interacting with Computers, 13, 127–145.  https://doi.org/10.1016/S0953-5438(00)00031-X.CrossRefGoogle Scholar
  31. Wang, T., Ji, P. (2010). Understanding customer needs through quantitative analysis of Kano’s model. International Journal of Quality and Reliability Management 27, 173–184.  https://doi.org/10.1108/02656711011014294CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2019

Authors and Affiliations

  • David Cortés Sáenz
    • 1
  • Carlos Eduardo Díaz Domínguez
    • 1
  • Pere Llorach-Massana
    • 2
  • Ainoa Abella García
    • 3
  • Juan Luis Hernández Arellano
    • 1
  1. 1.Department of DesignUniversity of Ciudad JuárezCiudad JuárezMéxico
  2. 2.Barcelona School of Design and EngineeringELISAVABarcelonaSpain
  3. 3.Department of Statistics and Operations ResearchUniversitat Politècnica de Catalunya– Barcelona TechBarcelonaSpain

Personalised recommendations