Abstract
Experience-based design is a recently emerging method used to capture the emotional content of customer experiences. Both the engineer’s experiences and customer’s experiences for dual experiences are important in delivering high quality user-centred product design. To assess dual experiential design optimization, fuzzy decision tree and fuzzy cognitive map are integrated in engineering design perspectives. This study aims at optimizing complex interactions and experiential design system with imprecise relationships while quantifying the performance impact of engineering design efficiency on customer satisfaction. The experiment is conducted by utilizing sensitivity analysis of the three degrees of fuzzy membership function using a product mix-experience problem. The evaluation results show that this dual experience-based design approach can help R&D design, deliver high quality product development experiences and co-create value with customers to yield a high performance engineering design.
Similar content being viewed by others
References
Afshari, H., Peng, Q.: Modeling and quantifying uncertainty in the product design phase for effects of user preference changes. Ind. Manage. Data Syst. 115(9), 1637–1665 (2015)
Andrea, K., Müller-Putzb, G., Mattiac, D.: User-centred design in brain-computer interface research and development. Ann. Phys. Rehab. Med. 58(5), 312–319 (2015)
Aurup, G.M., Akgunduz, A.: Pair-wise preference comparisons ising alpha-peak frequencies. J. Integr. Des. Process Sci. 16(4), 3–18 (2012)
Aydin, I., Karakose, M., Akin, E.: An approach for automated fault diagnosis based on a fuzzy decision tree and boundary analysis of a reconstructed phase space. ISA Trans. 53(2), 220–229 (2014)
Bate, P., Robert, G.: Experience-based design: from redesigning the system around the patient to co-designing services with the patient. Qual. Saf. Health Care 15(5), 307–310 (2006)
Battarbee, K., Koskinen, I.: Co-Experience: user experience as interaction. CoDesign 1(1), 5–18 (2005)
Buntine, W., Niblett, T.: A further comparison of splitting rules for decision-tree induction. Mach. Learn. 8(1), 75–85 (1992)
Carvalho, D.R., Freitas, A.A.: A hybrid decision tree/genetic algorithm method for data mining. Inform. Sci. 163(1), 13–35 (2004)
Chamorro-Koc, M., Popovic, V., Emmison, M.: Using visual representation of concepts to explore users and designers’ concepts of everyday products. Design Stud. 29(2), 142–159 (2008)
Chandra, B., Varghese, P.P.: Fuzzy sliq decision tree algorithm. IEEE Trans. Syst. Man Cybern. B Cybern IEEE Trans. 38(5), 1294–1301 (2008)
Chang, P.-C., Liu, C.-H.: A tsk type fuzzy rule based system for stock price prediction. Expert Syst. Appl. 34(1), 135–144 (2008)
Cheah, W.P., Kim, Y.S., Kim, K.-Y., Yang, H.-J.: Systematic causal knowledge acquisition using fcm constructor for product design decision support. Expert Syst. Appl. 38(12), 15316–15331 (2011)
Chen, D., Wang, X., Liu, W., Zeng, Y.: Ebd extended analytic hierarchy process (Ahp) approach to evaluating the effectiveness of engineering projects. J. Integr. Des. Process Sci. 19(2), 49–70 (2015)
Chen, L., Pu, P.: Survey of preference elicitation methods. Tech. rep., Swiss Federal Institute of Technolog. In: Lausanne, EPFL (2004)
Cochran, J.K., Chen, H.-N.: Fuzzy multi-criteria selection of object-oriented simulation software for production system analysis. Comput. Oper. Res. 32(1), 153–168 (2005)
Dilip, R., Yannou, B., Farel, R., Poirson, E.: Customer sentiment appraisal from user-generated product reviews: a domain independent heuristic algorithm. Int. J. Interact. Des. Manuf. (IJIDeM) 9(3), 201–211 (2015)
Dukic, T., Rönnäng, M., Christmansson, M.: Evaluation of ergonomics in a virtual manufacturing process. J. Eng. Des. 18(2), 125–137 (2007)
Glykas, M.: Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications. Springer, Berlin Heidelberg (2010)
Gopnik, A., Glymour, C., Sobel, D.M., Schulz, L.E., Kushnir, T., Danks, D.: A theory of causal learning in children: causal maps and bayes nets. Psychol. Rev. 111(1), 3 (2004)
Gorecky D., Schmitt, M., Loskyll, M., Zuhlke, D.: Human-machine-interaction in the industry 4.0 era. In: 12th IEEE International Conference on Industrial Informatics (INDIN), pp 289–294 (2014)
Gregory, C.S., Shana, S.: Latent semantic engineering: a new conceptual user-centered design approach. Adv. Eng. Inform. 26(2), 456–473 (2012)
Hassenzahl, M., Tractinsky, N.: User experience-a research agenda. Behav. Inform. Technol. 25(2), 91–97 (2006)
Hayashi, F., Inoue, T.: The relation between firm growth and Q with multiple capital goods: theory and evidence from panel data on Japanese firms. Econometrica 59(3), 731–753 (1991)
Horng, S.-C., Yang, F.-Y., Lin, S.-S.: Hierarchical fuzzy clustering decision tree for classifying recipes of ion implanter. Expert Syst. Appl. 38(1), 933–940 (2011)
Hsieh, Y.-H., Lin, Y.-T., Yuan, S.-T.: Expectation-based coopetition approach to service experience design. Simulat. Model. Pract. Theory 34, 64–85 (2013)
Jones, I.A., Kim, K.-Y.: Systematic service product requirement analysis with online customer review data. J. Integr. Des. Process Sci. 19(2), 25–48 (2016)
Kosko, B.: Fuzzy cognitive maps. Int. J. Man-Mach. Stud. 24(1), 65–75 (1986)
Kyriacos, C., Chena, S.Y.: Investigation of users’ preferences in interactive multimedia learning systems: a data mining approach. Interact. Learn. Environ. 17(2), 151–163 (2009)
Lee, K.C., Lee, H., Lee, N., Lim, J.: An agent-based fuzzy cognitive map approach to the strategic marketing planning for industrial firms. Ind. Mark. Manage. 42(4), 552–563 (2013)
Lee, S., Yang, J., Han, J.: Development of a decision making system for selection of dental implant abutments based on the fuzzy cognitive map. Expert Syst. Appl. 39(14), 11564–11575 (2012)
Liu, S., Boyle, I.M.: Engineering design: perspectives, challenges, and recent advances. J. Eng. Des. 20(1), 7–19 (2009)
Liu, X., Feng, X., Pedrycz, W.: Extraction of fuzzy rules from fuzzy decision trees: an axiomatic fuzzy sets (Afs) approach. Data Knowl. Eng. 84, 1–25 (2013)
Luh, D.-B., Ma, C.-H., Hsieh, M.-H., Huang, C.-Y.: Using the systematic empathic design method for customer-centered products development. J. Integr. Des. Process Sci. 16(4), 31–54 (2012)
Overbeeke, K.C., Djajadiningrat, J.P., Hummels, C.C.M., Wensveen, S.A.G.: Beauty in usability: forget about ease of use. In: Green, W.S., Jordan, P.W. (eds.) Pleasure with Products: Beyond usability, pp. 97–111. Taylor & Francis, London (2002)
Poirson, E., Dépincé, P., Petiot, J.: User-centered design by genetic algorithms: application to brass musical instrument optimization. Eng. Appl. Artif. Intell. 20(4), 511–518 (2007)
Pullman, M.E., Gross, M.A.: Ability of experience design elements to elicit emotions and loyalty behaviors. Decis. Sci. 35(3), 551–578 (2004)
Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81–106 (1986)
Romijn, H., Albaladejo, M.: Determinants of innovation capability in small electronics and software firms in southeast England. Res. Policy 31(7), 1053–1067 (2002)
Russ, L.R., Phillips, J., Brzozowicz, K., Chafetz, L.A., Plsek, P. E., Blackmore, C.C., Kaplan, G.S.: Experience-Based Design for Integrating the Patient Care Experience into Healthcare Improvement: Identifying a Set of Reliable Emotion Words. Healthcare (2013)
Saaty, T.L.: A scaling method for priorities in hierarchical structures. J. Math. Psychol. 15(3), 234–281 (1977)
Salmeron, J.L., Gutierrez, E.: Fuzzy grey cognitive maps in reliability engineering. Appl. Soft Comput. 12(12), 3818–3824 (2012)
Sarkar, P., Chakrabarti, A.: Assessing design creativity. Des. Stud. 32(4), 348–383 (2011)
Schütte, S.: Developing the space of properties supporting Kansei engineering procedure. Int. J. Kansei Eng. 5(4), 11–20 (2006)
Serena, G., Ferrise, F., Furtado, G.P., Bordegoni, M.: Reverse engineering of interactive mechanical interfaces for product experience design. Virtual Phys. Prototyping 9(2), 65–79 (2014)
Stylios, C.D., Groumpos, P. P.: Fuzzy cognitive maps multimodel for complex manufacturing systems. In: Ninth IFAC Symposium on Large Scale Systems: Theory and Applications (LSS’01) (2001)
Tesar, D.: Meeting human needs by leveraging the next wave of technology. J. Integr. Des. Process Sci. 19(2), 5–24 (2016)
Wright, P., McCarthy, J.: Experience-centered design: designers, users, and communities in dialogue. Synth. Lect. Hum. Centered Inform. 3(1), 1–123 (2010)
Wright, P., McCarthy, J., Meekison, L.: Making Sense of Experience Funology. Springer, Berlin (2005)
Xavier, F., Nadeau, J.-P.: Research in Interactive Design Vol. 3, ISBN : 978-2-8178-0168-1. Springer (2011)
Yuan, Y., Shaw, M.J.: Induction of fuzzy decision trees. Fuzzy Sets Syst. 69(2), 125–139 (1995)
Yan, Y., Poirson, E., Bennis, F.: An interactive motion planning framework that can learn from experience. Comput. Aided Des. 59, 23–38 (2015)
Zadeh, L.A.: Fuzzy sets. Inform. Control 8(3), 338–353 (1965)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Chen, RY. Fuzzy dual experience-based design evaluation model for integrating engineering design into customer responses. Int J Interact Des Manuf 10, 439–458 (2016). https://doi.org/10.1007/s12008-016-0310-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12008-016-0310-y