Can experienced designers learn from new tools? A case study of idea generation in a professional engineering team

References

• Altshuller, G. (1984). Creativity as an exact science. New York, NY: Gordon and Breach.
   Google Scholar
• Altshuller, G. (1997). 40 Principles: TRIZ keys to technical innovation. Worcester, MA: Technical Innovation Center, Inc.
   Google Scholar
• Casakin, H., & Goldschmidt, G. (1999). Expertise and the use of visual analogy: Implications for design education. Design Studies, 20, 153–175.
   Google Scholar
• Christensen, B. T., & Schunn, C. D. (2007). The relationship of analogical distance to analogical function and preinventive structure: The case of engineering design. Memory & Cognition, 35, 29–38.
   PubMed Web of Science ®Google Scholar
• Christian, J. L., Daly, S. R., Yilmaz, S., Seifert, C. M., & Gonzalez, R. (2012). Design heuristics to support two modes of idea generation: initiating ideas and transitioning among concepts. Paper presented at the Annual Conference of American Society of Engineering Education, San Antonio, TX.
   Google Scholar
• Collins, B., & Guetzkow, H. (1964). A social psychology of group problem solving. New York: John Wiley and Sons, Inc.
   Google Scholar
• Cox, V. (1987). An application of cognitive science to understanding problem solving activity for well structured problems: Cognition, algorithms, metacognition and heuristics. Paper presented at the IEEE Frontiers in Education Conference, Session 27B5, New York.
   Google Scholar
• Creswell, J. (2003). Research design: Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Daly, S. R., Christian, J. L., Yilmaz, S., Seifert, C. M., & Gonzalez, R. (2012). Assessing design heuristics for idea generation in an introductory engineering course. International Journal of Engineering Education, 28, 1–11.
   Web of Science ®Google Scholar
• Daly, S. R., Yilmaz, S., Christian, J. L., Seifert, C. M., & Gonzalez, R. (2012). Design heuristics in engineering concept generation. Journal of Engineering Education, 101, 601–629.
   Web of Science ®Google Scholar
• Design Heuristics. (2012). Retrieved from www.designheuristics.com.
   Google Scholar
• Diehl, M., & Stroebe, W. (1987). Productivity loss in brainstorming groups: Toward the solution of a riddle. Journal of Personality and Social Psychology, 53, 497–509.
   Web of Science ®Google Scholar
• Eberle, B. (1995). Scamper. Waco, TX: Prufrock.
   Google Scholar
• Finke, R. A., Ward, T. B., & Smith, S. M. (1992). Creative cognition: Theory, research, and applications. Cambridge, MA: The MIT Press.
   Google Scholar
• Geschka, H., Schaude, G. R., & Schlicksupp, H. (1976). Modern techniques for solving problems. International Studies of Management and Organization, 6, 45–63.
   Google Scholar
• Gordon, W. J. J. (1961). Synectics. New York, NY: Harper & Row.
   Google Scholar
• Hargadon, A., & Sutton, R. I. (1997). Technology brokering and innovation in a product development firm. Administrative Science Quarterly, 42, 716–749.
   Web of Science ®Google Scholar
• Holyoak, K. J., & Thagard, P. (1995). Mental leaps: Analogy in creative thought. Cambridge, MA: The MIT Press.
   Google Scholar
• Horowitz, R. (1999). Creative problem solving in engineering design (Doctoral dissertation). Tel-Aviv University.
   Google Scholar
• Kahneman, D., Slovic, P., & Tversky, A. (1982). Judgment under uncertainty: Heuristics and biases. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Koen, B. V. (2003). Discussion of the method: Conducting the engineer's approach to problem solving (engineering and technology). Cary, NC: Oxford University Press.
   Google Scholar
• Kroll, E. (2013). Design theory and conceptual design: Contrasting functional decomposition and morphology with parameter analysis. Research in Engineering Design, 24, 165–183.
   Web of Science ®Google Scholar
• Laughlin, P. (2002). Groups perform better than the best individuals on letters-to-numbers problems: 1. Organizational Behavior and Human Decision Processes, 88, 605–620.
   Web of Science ®Google Scholar
• Linsey, J. S., Murphy, J. T., Markman, A. B., Wood, K. L., & Kurtoglu, T. (2006). Representing analogies: Increasing the probability of innovation. Paper presented at the IDETC/CIE ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Philadelphia, Pennsylvania.
   Google Scholar
• Moustakas, C. E. (1990). Heuristic research: Design, methodology, and applications. Thousand Oaks, CA: Sage Publications, Inc.
   Google Scholar
• Mullen, B., Johnson, C., & Salas, E. (1991). Productivity loss in brainstorming groups: A meta-analytic integration. Basic and Applied Social Psychology, 12, 3–23.
   Web of Science ®Google Scholar
• Nielsen, J. (1993). Usability engineering. San Diego, CA: Academic Press.
   Google Scholar
• Nisbett, R. E., & Ross, L. (1980). Human inference: Strategies, and shortcomings of social judgment. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Osborn, A. (1957). Applied imagination: Principles and procedures of creative problem-solving. New York, NY: Scribner.
   Google Scholar
• Paulus, P. B., Dzindolet, M. T., Poletes, G., & Camacho, L. M. (1993). Perception of performance in group brainstorming: The illusion of group productivity. Personality & Social Psychology Bulletin, 19, 78–89.
   Web of Science ®Google Scholar
• Paulus, P. B., & Yang, H. (2000). Idea generation in groups: A basis for creativity in organizations. Organizational Behavior and Human Decision Processes, 82, 76–87.
   Web of Science ®Google Scholar
• Pearl, J. (1984). Heuristics: Intelligent search strategies for computer problem solving. Reading, MA: Addison-Wesley Pub. Co., Inc.
   Google Scholar
• Purcell, A. T., & Gero, J. S. (1996). Design and other types of fixation. Design Studies, 17, 363–383.
   Google Scholar
• Reich, Y., Hatchuel, A., Shai, O., & Subrahmanian, E. (2012). A theoretical analysis of creativity methods in engineering design: Casting an improving ASIT within C-K theory. Journal of Engineering Design, 23, 137–158.
   Web of Science ®Google Scholar
• Riel, A. J. (1996). Object-oriented design heuristics. Reading, MA: Addison-Wesley Professional.
   Google Scholar
• Römer, A., Weißhahn, G., & Hacker, W. (2001). Effortsaving product representations in design – Results of a questionnaire survey. Design Studies, 22, 473–490.
   Google Scholar
• Steiner, I. D. (1972). Group process and productivity. San Diego, CA: Academic Press.
   Google Scholar
• Terninko, J., Zussman, A., & Zlotin, B. (1998). Systematic innovation: An introduction to TRIZ. Boca, Raton, FL: CRC Press, LLC.
   Google Scholar
• Ulrich, W. (2005). A brief introduction to critical systems heuristics (CSH). Retrieved from http://www.geocities.com/csh_home/downloads/ulrich_2005f.pdf.
   Google Scholar
• Van de Ven, A. H., & Delbecq, A. L. (1974). The effectiveness of nominal, delphi, and interacting group decision making process. Academy of Management Journal, 17, 605–621.
   Web of Science ®Google Scholar
• Yilmaz, S. (2010). Design heuristics (Unpublished doctoral dissertation). University of Michigan, Ann Arbor, MI, USA.
   Google Scholar
• Yilmaz, S., Christian, J. L., Daly, S. R., Seifert, C. M., & Gonzalez, R. (2012). How do design heuristics affect outcomes in industrial design? In M. M.Andreasen, H.Birkhofer, S. J.Culley, U.Lindemann & D.Marjanovic (Eds.), Proceedings of the 12th international design conference (DESIGN) (pp. 1195–1204), May 21–24, 2012. Dubrovnik: Croatia.
   Google Scholar
• Yilmaz, S., Daly, S. R., Seifert, C. M., & Gonzalez, R. (2010). A comparison of cognitive heuristics use between engineers and industrial designers. In J. S.Gero (Ed.), Proceedings of the 4th international conference on design computing and cognition (DCC) (pp. 3–22), July 12–14. Germany: University of Stuttgart, Stuttgart.
   Google Scholar
• Yilmaz, S., Daly, S. R., Seifert, C. M., & Gonzalez, R. (2013). Comparison of design approaches between engineers and industrial designers. Paper to be presented at the International Conference on Engineering and Product Design Education, Dublin, Ireland.
   Google Scholar
• Yilmaz, S., & Seifert, C. M. (2010). Cognitive heuristics in design ideation. Paper presented at the International Design Conference, Cavtat, Croatia.
   Google Scholar
• Yilmaz, S., & Seifert, C. M. (2011). Creativity through design heuristics: A case study of expert product design. Design Studies, 32, 384–415.
   Web of Science ®Google Scholar
• Yilmaz, S., Seifert, C. M., & Gonzalez, R. (2010). Cognitive heuristics in design: Instructional strategies to increase creativity in idea generation. Journal of Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 24, 335–355.
   Web of Science ®Google Scholar
• Zwicky, F. (1969). Discovery, invention, reserach through the morphological approach. New York, NY: Macmillan.
   Google Scholar