Innovation
  Does innovation come from process or from cognition?
 


Overview

Engineering uses a complex semi-formal process to develop innovative products that bring value to users. While we know a lot about how people become fixated on past solutions and how the design process can be structured to lead designers to new solutions, much remains to be understood the process of insight and innovation, particularly regarding the cognition that underlies it. We brings the theories and methods of cognitive psychology to unpack the complex events of design that occur in the real world.

   
         
 
Recent Results
  • The physical design environment appears to shape the kinds of analogies that engineers bring to the design problem. In particualr, physical prototypes appear to supress between domain analogies.
  • Designers use mental simulations to turn uncertainty about the design problem into approximate (not exact) answers.
  • A review of the design literature revealed a number of processes that appear to be commonly associated with more expert designers and better design solutions.
   
   

 

 

   
 
The Team
   
       
 
Schunn Lab: Andrea Goncher, Tsun Wong, Kevin Topolski – Collaborators: Mike Lovell (Pitt Engr), Yu Wang (Pitt Engr)
   
 


   

 

Engineering video

 

We have instrumented engineering design spaces to capture thousands of hours of video of engineering design work.
 

 
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Current Projects

Design Tools to Cognitive Processes to Innovation. We are collecting data (~50 hrs/team) from semester-long product realization teams (approximately 60 teams across three yrs of data collection) to understand how the artifacts and tools in the design environment shape cognitive processes like analogy and mental simulation to in turn influence the quality of final solutions.

Emotion under the Transfer of Insight. During flashes of insight, the cognition mixes with emotion to color the insght. We are studying (through eye-tracking and self-report) how the emotional character of the insight moment changes the extent to which the insights are robust for later problem solving.

   
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Publications
   
 
  • Christensen, B. T., & Schunn, C. D. (2008). The role and impact of mental simulation in design. Applied Cognitive Psychology. pdf
  • Christensen, B. T., & Schunn, C. D. (2008). Setting a limit to randomness [or: ‘Putting blinkers on a blind man’]: Providing cognitive support for creative processes with environmental cues. To appear in K. Wood & A. Markman (Eds.), Tools for Innovation. pdf
  • Titus, N., Schunn, C. D., Walhall, C., Chiu, G., & Ramani, K. (2008). What design processes predict better design outcomes? The case of robotics design teams. In the Proceedings of the International Symposium series on Tools and Methods of Competitive Engineering, Izmir, Turkey, (April, 2009). pdf
  • Schunn, C. D., Lovell, M. R., Wang, Y., and Yang, A. (2008). Measuring Innovative Apples & Oranges: Towards More Robust and Efficient Measures of Product Innovation. Paper presented at the Studying Design Creativity conference. Aix-en-Provence, France, (March, 2008).
  • Christensen, B. T., & Schunn, C. D. (2007). The relationship of analogical distance to analogical function and pre-inventive structure: The case of engineering design. Memory & Cognition, 35(1), 29-38. pdf
  • Mehalik, M. M., & Schunn, C. D. (2006). What constitutes good design? A review of empirical studies of the design process. International Journal of Engineering Education, 22(3), 519-532. pdf
  • Christensen, B. T., & Schunn, C. D. (2005). Spontaneous access and analogical incubation effects. Creativity Research Journal, 17(2), 207-220. pdf
  • Lovett, M. C., & Schunn, C. D. (1999). Task representations, strategy variability and base-rate neglect. Journal of Experimental Psychology: General, 128, 107-130. pdf