Bio-Inspired Design: An Overview Investigating Open Questions From the Broader Field of Design-by-Analogy

Bio-inspired design and the broader field of design-by-analogy have been the basis of numerous innovative designs throughout history; yet there remains much to be understood about these practices of design, their underlying cognitive mechanisms, and preferred ways in which to teach and support them. In this paper, we work to unify the broader design-by-analogy research literature with that of the bio-inspired design field, reviewing the current knowledge of designer cognition, the seminal supporting tools and methods for bio-inspired design, and postulating the future of bio-inspired design research from the larger design-by-analogy perspective. We examine seminal methods for supporting bio-inspired design, highlighting the areas well aligned with current findings in design-by-analogy cognition work and noting important areas for future research identified by the investigators responsible for these seminal tools and methods. Supplemental to the visions of these experts in bio-inspired design, we suggest additional projections for the future of the field, posing intriguing research questions to further unify the field of bio-inspired design with its broader resident field of design-by-analogy. [DOI: 10.1115/1.4028289]

[1]  N. Maier.  Reasoning in humans. II. The solution of a problem and its appearance in consciousness. , 1931 .

[2]  K. Duncker,et al.  On problem-solving , 1945 .

[3]  R. Adamson.  Functional fixedness as related to problem solving; a repetition of three experiments. , 1952, Journal of experimental psychology.

[4]  T. Blyth.  CHAPTER 1 – FOUNDATIONS , 1972 .

[5]  K. Holyoak,et al.  Analogical problem solving , 1980, Cognitive Psychology.

[6]  K. Holyoak,et al.  Schema induction and analogical transfer , 1983, Cognitive Psychology.

[7]  L. R. Novick.  Analogical transfer, problem similarity, and expertise. , 1988, Journal of experimental psychology. Learning, memory, and cognition.

[8]  Steven M. Smith,et al.  Incubation and the persistence of fixation in problem solving. , 1991, The American journal of psychology.

[9]  John S. Gero,et al.  Effects of examples on the results of a design activity , 1992, Knowl. Based Syst..

[10]  Steven M. Smith,et al.  Constraining effects of examples in a creative generation task , 1993, Memory & cognition.

[11]  C. Clement,et al.  The Effects of Manifest Relational Similarity on Analog Retrieval , 1994 .

[12]  C. Clement.  Effect of structural embedding on analogical transfer: manifest versus latent analogs , 1994 .

[13]  Michael C. Quick,et al.  Invention and evolution — design in nature and engineering , 1995 .

[14]  Steven M. Smith,et al.  Getting into and out of mental ruts: A theory of fixation, incubation, and insight. , 1995 .

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

[16]  D. Gentner,et al.  Structure mapping in analogy and similarity. , 1997 .

[17]  J. Kolodner.  Educational implications of analogy. A view from case-based reasoning. , 1997, The American psychologist.

[18]  Janine M. Benyus,et al.  Biomimicry: Innovation Inspired by Nature , 1997 .

[19]  K. Dunbar.  How scientists think: On-line creativity and conceptual change in science. , 1997 .

[20]  Peter W. Foltz,et al.  An introduction to latent semantic analysis , 1998 .

[21]  M. Dickinson,et al.  Bionics: biological insight into mechanical design. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[22]  S. Ohlsson,et al.  Constraint relaxation and chunk decomposition in insight problem solving , 1999 .

[23]  Gabriela Goldschmidt,et al.  Expertise and the use of visual analogy: implications for design education , 1999 .

[24]  Philip Ball,et al.  Life's lessons in design , 2001, Nature.

[25]  Jami J. Shah,et al.  INFLUENCE OF DESIGN REPRESENTATION ON EFFECTIVENESS OF IDEA GENERATION , 2001 .

[26]  J. Vincent,et al.  Systematic technology transfer from biology to engineering , 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[27]  D. Dahl,et al.  The Influence and Value of Analogical Thinking during New Product Ideation , 2002 .

[28]  Simon Szykman,et al.  A functional basis for engineering design: Reconciling and evolving previous efforts , 2002 .

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

[30]  Nigel Cross,et al.  Expertise in Design: an overview , 2004 .

[31]  Linden J. Ball,et al.  Spontaneous analogising in engineering design: a comparative analysis of experts and novices , 2004 .

[32]  L. Shu.  Biomimetic design for remanufacture in the context of design for assembly , 2004 .

[33]  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.

[34]  Bo T. Christensen,et al.  Spontaneous Access and Analogical Incubation Effects , 2005 .

[35]  Cornelius Herstatt,et al.  How To Use Analogies For Breakthrough Innovations , 2005 .

[36]  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.

[37]  J. Vincent,et al.  Biomimetics: its practice and theory , 2006, Journal of The Royal Society Interface.

[38]  K. Ishibashi.  Exploring the Effect of Copying Incomprehensible Exemplars on Creative Drawings , 2006 .

[39]  Arthur B. Markman,et al.  Representing Analogies: Increasing the Probability of Innovation , 2006 .

[40]  Yoseph Bar-Cohen,et al.  Biomimetics—using nature to inspire human innovation , 2006, Bioinspiration & biomimetics.

[41]  Moss Jarrod,et al.  Design Ideas and Impasses: the Role of Open Goals , 2007 .

[42]  Bo T. Christensen,et al.  The relationship of analogical distance to analogical function and preinventive structure: the case of engineering design , 2007, Memory & cognition.

[43]  Matti Perttula,et al.  The idea exposure paradigm in design idea generation , 2007 .

[44]  K. Kotovsky,et al.  The influence of open goals on the acquisition of problem-relevant information. , 2007, Journal of experimental psychology. Learning, memory, and cognition.

[45]  L. H. Shu,et al.  Biomimetic design through natural language analysis to facilitate cross-domain information retrieval , 2007, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[46]  Arthur B. Markman,et al.  Increasing Innovation: A Trilogy of Experiments Towards a Design-by-Analogy Method , 2007 .

[47]  David Harrison,et al.  BioTRIZ Suggests Radiative Cooling of Buildings Can Be Done Passively by Changing the Structure of Roof Insulation to Let Longwave Infrared Pass , 2008 .

[48]  Amaresh Chakrabarti,et al.  Developing Engineering Products Using Inspiration From Nature , 2008, J. Comput. Inf. Sci. Eng..

[49]  Yukari Nagai,et al.  A Method for Creative Behavioral Design Based on Analogy and Blending From Natural Things , 2008 .

[50]  Charles Kemp,et al.  The discovery of structural form , 2008, Proceedings of the National Academy of Sciences.

[51]  Robert Stone,et al.  TRANSLATING TERMS OF THE FUNCTIONAL BASIS INTO BIOLOGICALLY MEANINGFUL KEYWORDS , 2008 .

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

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

[54]  Alice M. Agogino,et al.  Analogies and metaphors in creative design , 2008 .

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

[56]  Jonathan Cagan,et al.  The role of timing and analogical similarity in the stimulation of idea generation in design , 2008 .

[57]  Robert W. Weisberg,et al.  On “Out-of-the-Box” Thinking in Creativity , 2009 .

[58]  Saeema Ahmed,et al.  An In Situ Study of Analogical Reasoning in Novice and Experienced Design Engineers , 2009 .

[59]  Philip J. Smith,et al.  Biasing cognitive processes during design: the effects of color , 2009 .

[60]  N. R. Bogatyrev,et al.  TRIZ evolution trends in biological and technological design strategies , 2009 .

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

[62]  Amaresh Chakrabarti,et al.  Sapphire – an Approach to Analysis and Synthesis , 2009 .

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

[64]  Carlos Hoyos.  The Bio-Inspired Design Landscape, Industrial Design , 2010 .

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

[66]  Craig A. Tovey,et al.  Enhancing Innovation Through Biologically Inspired Design , 2010 .

[67]  Cornelius Herstatt,et al.  Developing Innovations Based on Analogies: Experience from Design and Engineering Consultants , 2010 .

[68]  Daniel Collado-Ruiz,et al.  Influence of environmental information on creativity , 2010 .

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

[70]  Christina White,et al.  From Brainstorming to C-Sketch to Principles of Historical Innovators: Ideation Techniques to Enhance Student Creativity. , 2010 .

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

[72]  David W. Rosen,et al.  The effects of biological examples in idea generation , 2010 .

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

[74]  Gabriela Goldschmidt,et al.  Inspiring design ideas with texts , 2011 .

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

[76]  Robert L. Nagel,et al.  Abstracting biology for engineering design , 2011 .

[77]  Jonathan Cagan,et al.  On the benefits and pitfalls of analogies for innovative design : Ideation performance based on analogical distance, commonness, and modality of examples , 2011 .

[78]  Jacquelyn K. S. Nagel,et al.  A SYSTEMATIC APPROACH TO BIOLOGICALLY-INSPIRED ENGINEERING DESIGN , 2011 .

[79]  Robert Stone,et al.  A Function Based Approach to TRIZ , 2011 .

[80]  Julie S. Linsey,et al.  Concepts in Biomimetic Design: Methods and Tools to Incorporate Into a Biomimetic Design Course , 2011 .

[81]  L. Shu,et al.  THE EFFECTS OF LANGUAGE STIMULI ON DESIGN CREATIVITY , 2011 .

[82]  L. H. Shu,et al.  Biologically inspired design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[83]  L. H. Shu,et al.  A COMPARISON OF BIOMIMETIC DESIGN AND TRIZ APPLIED TO THE DESIGN OF A PROTON EXCHANGE MEMBRANE FUEL CELL , 2011 .

[84]  Julie S. Linsey,et al.  Design Fixation in Physical Modeling: An Investigation on the Role of Sunk Cost , 2011 .

[85]  L. Shu.  Biologically Meaningful Keywords for Functional Terms of the Functional Basis , 2011 .

[86]  Julie S. Linsey,et al.  A Study on the Role of Expertise in Design Fixation and its Mitigation , 2012 .

[87]  Jonathan Cagan,et al.  THE MEANING OF "NEAR" AND "FAR": THE IMPACT OF STRUCTURING DESIGN DATABASES AND THE EFFECT OF DISTANCE OF ANALOGY ON DESIGN OUTPUT , 2012 .

[88]  Julie S. Linsey,et al.  Evaluating the Directed Method for Bioinspired Design , 2012 .

[89]  Ozgur Ozkan,et al.  Cognitive strategies of analogical reasoning in design: Differences between expert and novice designers , 2013 .

[90]  Jonathan Cagan,et al.  Discovering Structure in Design Databases Through Functional and Surface Based Mapping , 2013 .

[91]  Maria C. Yang,et al.  Fundamental studies in Design-by-Analogy: A focus on domain-knowledge experts and applications to transactional design problems , 2014 .

[92]  Tao Feng,et al.  Effects of Abstraction on Selecting Relevant Biological Phenomena for Biomimetic Design , 2014 .

[93]  Jacquelyn K. S. Nagel,et al.  Function-Based Biologically Inspired Design , 2014 .

[94]  L. H. Shu,et al.  Understanding Analogical Reasoning in Biomimetic Design: An Inductive Approach , 2014 .

[95]  Jon-Michael Deldin,et al.  The AskNature Database: Enabling Solutions in Biomimetic Design , 2014 .

[96]  Ashok K. Goel,et al.  Analogical Problem Evolution in Biologically Inspired Design , 2014 .

[97]  L. H. Shu,et al.  Design problem solving with biological analogies: A verbal protocol study , 2014, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[98]  Maria C. Yang,et al.  CREATIVITY IN TRANSACTIONAL DESIGN PROBLEMS: NON-INTUITIVE FINDINGS OF AN EXPERT STUDY USING SCAMPER , 2014 .

[99]  Julie S. Linsey,et al.  Overcoming Cognitive Challenges in Bioinspired Design and Analogy , 2014 .

[100]  Julie S. Linsey,et al.  Evaluating the Directed Intuitive Approach for Bioinspired Design , 2014 .

[101]  Maria C. Yang,et al.  A Step Beyond to Overcome Design Fixation: A Design-by-Analogy Approach , 2015 .

[102]  K. Wood,et al.  Changing Conversations and Perceptions: The Research and Practice of Design Science , 2016 .