Design problem solving with biological analogies: A verbal protocol study

Abstract Biomimetic design applies biological analogies to solve design problems and has been known to produce innovative solutions. However, when designers are asked to perform biomimetic design, they often have difficulty recognizing analogies between design problems and biological phenomena. Therefore, this research aims to investigate designer behaviors that either hinder or promote the use of analogies in biomimetic design. A verbal protocol study was conducted on 30 engineering students working in small teams while participating in biomimetic design sessions. A coding scheme was developed to analyze cognitive processes involved in biomimetic design. We observed that teams were less likely to apply overall biological analogies if they tended to recall existing solutions that could be easily associated with specific superficial or functional characteristics of biological phenomena. We also found that the tendency to evaluate ideas, which reflects critical thinking, correlates with the likelihood of identifying overall biological analogies. Insights from this paper may contribute toward developing generalized methods to facilitate biomimetic design.

[1]  Nigel Cross,et al.  Analysing design activity , 1996 .

[2]  Kazuhiro Saitou,et al.  Bioanalogous Mechanical Joints for Authorized Disassembly , 2007 .

[3]  L. H. Shu,et al.  Effective Analogical Transfer Using Biological Descriptions Retrieved With Functional and Biologically Meaningful Keywords , 2009 .

[4]  Song Gao,et al.  A COMPARATIVE STUDY OF PROBLEM FRAMING IN MULTIPLE SETTINGS , 2006 .

[5]  Yan Jin,et al.  Creative patterns and stimulation in conceptual design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[6]  Gabriela Goldschmidt,et al.  Linkography : Assessing Design Productivity , 1990 .

[7]  W. K. Purves.  Life: The Science of Biology , 1985 .

[8]  Maarten van Someren,et al.  The Think Aloud Method: A Practical Guide to Modelling Cognitive Processes , 1994 .

[9]  L. H. Shu,et al.  Abstraction of Biological Analogies for Design , 2004 .

[10]  D. Schoen,et al.  The Reflective Practitioner: How Professionals Think in Action , 1985 .

[11]  Gabriela Goldschmidt,et al.  The designer as a team o f one , 1995 .

[12]  Jami J. Shah,et al.  Beyond Function-Behavior-Structure , 2014 .

[13]  L. H. Shu,et al.  Using descriptions of biological phenomena for idea generation , 2008 .

[14]  Dedre Gentner,et al.  Structure-Mapping: A Theoretical Framework for Analogy , 1983, Cogn. Sci..

[15]  Ashok K. Goel,et al.  A content account of creative analogies in biologically inspired design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[16]  John S. Gero,et al.  Design Computing and Cognition ’04 , 2011, Springer Netherlands.

[17]  Lynn Nadel,et al.  Encyclopedia of Cognitive Science , 2003 .

[18]  Arthur B. Markman,et al.  Modality and representation in analogy , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[19]  Ashok K. Goel.  Design, Analogy, and Creativity , 1997, IEEE Expert.

[20]  L. H. Shu,et al.  Potential Limitations of Verbal Protocols in Design Experiments , 2010 .

[21]  J. Wiley.  Expertise as mental set: The effects of domain knowledge in creative problem solving , 1998, Memory & cognition.

[22]  John S. Gero,et al.  Design Prototypes: A Knowledge Representation Schema for Design , 1990, AI Mag..

[23]  W. Gordon.  Synectics: The Development of Creative Capacity , 1961 .

[24]  Ashok K. Goel,et al.  The Effect of Functional Modeling on Understanding Complex Biological Systems , 2010 .

[25]  K. A. Ericsson,et al.  Protocol analysis: Verbal reports as data, Rev. ed. , 1993 .

[26]  John S. Gero,et al.  An approach to the analysis of design protocols , 1998 .

[27]  John S. Gero,et al.  Idea Development Can Occur Using Imagery Only , 2008 .

[28]  John S. Gero,et al.  Fixation and Commitment While Designing and its Measurement , 2011 .

[29]  Ashok K. Goel,et al.  Biologically Inspired Design , 2014 .

[30]  Sharan B. Merriam,et al.  Qualitative Research: A Guide to Design and Implementation , 2009 .

[31]  L. H. Shu,et al.  Extraction and Transfer of Biological Analogies for Creative Concept Generation , 2010 .

[32]  Jonathan Cagan,et al.  A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty , 2010 .

[33]  M. Engle.  Book Review: Qualitative Data Analysis: An Expanded Sourcebook (2nd Ed.) , 1999 .

[34]  Paul Thagard,et al.  Analogical Mapping by Constraint Satisfaction , 1989, Cogn. Sci..

[35]  Andy Dong,et al.  Concept formation as knowledge accumulation: A computational linguistics study , 2006, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[36]  J. Guthrie.  Encyclopedia of Education , 2002 .

[37]  John S. Gero,et al.  Design and other types of fixation , 1996 .

[38]  L. H. Shu,et al.  Using templates and mapping strategies to support analogical transfer in biomimetic design , 2013 .

[39]  Jacquelyn K. S. Nagel,et al.  An Engineering-to-Biology Thesaurus for Engineering Design , 2010 .

[40]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[41]  Amaresh Chakrabarti,et al.  A functional representation for aiding biomimetic and artificial inspiration of new ideas , 2005, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[42]  K. Holyoak,et al.  Mental Leaps: Analogy in Creative Thought , 1994 .

[43]  K. A. Ericsson,et al.  Protocol Analysis: Verbal Reports as Data , 1984 .

[44]  Amaresh Chakrabarti,et al.  The effect of representation of triggers on design outcomes , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[45]  L. H. Shu,et al.  A natural-language approach to biomimetic design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[46]  Ashok K. Goel,et al.  DANE: Fostering Creativity in and through Biologically Inspired Design , 2011 .

[47]  D. Gentner.  Analogical Reasoning, Psychology of , 2006 .

[48]  J. Fleiss.  Statistical methods for rates and proportions , 1974 .

[49]  A. Dong.  The enactment of design through language , 2007 .

[50]  Robert L. Nagel,et al.  Function-based, biologically inspired concept generation , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[51]  John S. Gero,et al.  Comparing entropy measures of idea links in design protocols: Linkography entropy measurement and analysis of differently conditioned design sessions , 2007, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[52]  Amaresh Chakrabarti,et al.  A methodology for supporting “transfer” in biomimetic design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[53]  Hans Nørgaard Hansen,et al.  Biomimetics Applied to Centering in Microassembly , 2003 .

[54]  Andy Dong,et al.  The latent semantic approach to studying design team communication , 2005 .

[55]  Winfried Hacker,et al.  THE IMPROVEMENT OF DESIGN SOLUTIONS BY MEANS OF A QUESTION-ANSWERING-TECHNIQUE (QAT) , 2006 .

[56]  L. H. Shu,et al.  Reducing cognitive bias in biomimetic design by abstracting nouns , 2013 .

[57]  W. Grove.  Statistical Methods for Rates and Proportions, 2nd ed , 1981 .

[58]  R. Weisberg,et al.  Following the wrong footsteps: fixation effects of pictorial examples in a design problem-solving task. , 2005, Journal of experimental psychology. Learning, memory, and cognition.

[59]  Marie-Josée Potvin,et al.  BIOMIMETIC DESIGN OF A MULTI-LAYERED DUST PROTECTION SYSTEM FOR OPTICAL INSTRUMENTS OPERATING IN THE LUNAR ENVIRONMENT , 2011 .

[60]  D. Gentner,et al.  Structural Alignment during Similarity Comparisons , 1993, Cognitive Psychology.

[61]  Murray Turoff,et al.  The Delphi Method: Techniques and Applications , 1976 .

[62]  R. J. Bogumil,et al.  The reflective practitioner: How professionals think in action , 1985, Proceedings of the IEEE.

[63]  Ashok K. Goel,et al.  Cognitive, collaborative, conceptual and creative - Four characteristics of the next generation of knowledge-based CAD systems: A study in biologically inspired design , 2012, Comput. Aided Des..

[64]  Ashok K. Goel,et al.  Biologically inspired design: process and products , 2009 .

[65]  John E. Hummel,et al.  The One-to-One Constraint in Analogical Mapping and Inference , 2005, Cogn. Sci..

[66]  Matthew B. Miles,et al.  Qualitative Data Analysis: An Expanded Sourcebook , 1994 .