The effect of explicit instructions in idea generation studies

Abstract In inspiration and fixation experiments, example designs are often provided along with the instructions for how participants should treat them. However, research has not reached a consensus about the influence of such instructions, leading to difficulties in understanding how the examples and the instructions each affect idea generation. We conducted an experiment in which 303 participants designed for the same design problem, while given different examples and instructions, which ranged from strongly encouraging copying the examples to strongly discouraging copying. Exposure to the examples affected the number and type of ideas generated, whereas exposure to the instructions did not. However, instructions did affect how participants incorporated features of the examples in their ideas. Encouraged groups incorporated many features of the examples, while also incorporating structural features more than conceptual ones. Surprisingly, the incorporation of features in discouraged groups was not different from that of groups given no instructions or even no stimulus. This indicates that concrete features may be easier to recognize and reproduce than abstract ones, and that encouraging instructions are more effective than discouraging ones, despite how strict or lenient those instructions are. The manipulation of different features also allowed us to observe how similar approaches to solving a design problem can compete for attention and how the calculation of feature repetition can be misleading depending on how common or obvious the features might be. These findings have implications for the interpretation of results from fixation studies, and for the development of design tools that present stimuli to assist idea generation.

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

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

[3]  Julie Linsey,et al.  Representing analogies to influence fixation and creativity: A study comparing computer-aided design, photographs, and sketches , 2015, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

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

[5]  Jeffrey V. Nickerson,et al.  A fix for fixation? Rerepresenting and abstracting as creative processes in the design of information systems , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[6]  Luis A. Vasconcelos,et al.  Inspiration and fixation: Questions, methods, findings, and challenges , 2016 .

[7]  Julie Linsey,et al.  A study on the effects of example familiarity and modality on design fixation , 2016, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[8]  Mengyao Zhao Seek it or let it come: how designers achieve inspirations , 2013, CHI Extended Abstracts.

[9]  Krzysztof Z. Gajos,et al.  Providing Timely Examples Improves the Quantity and Quality of Generated Ideas , 2015, Creativity & Cognition.

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

[11]  Arthur B. Markman,et al.  Wordtrees: A Method For Design By Analogy , 2008 .

[12]  J. Tedeschi Impression Management Theory and Social Psychological Research , 1981 .

[13]  Editorial board of IJDCI Perspectives on design creativity and innovation research , 2013 .

[14]  Nathan Crilly,et al.  Information and interaction requirements for software tools supporting analogical design , 2015, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[15]  Ruth Mugge,et al.  A new strategy to reduce design fixation: Presenting partial photographs to designers , 2014 .

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

[17]  Luis A. Vasconcelos,et al.  Research data supporting "Fluency results in design fixation experiments: an additional explanation" , 2016 .

[18]  Robert J. Youmans,et al.  Design fixation: Classifications and modern methods of prevention , 2014, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[19]  Robert J. Youmans Design Fixation in the Wild: Design Environments and Their Influence on Fixation , 2011 .

[20]  Jonathan Cagan,et al.  Design Team Convergence: The Influence of Example Solution Quality , 2009 .

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

[22]  Ben Shneiderman,et al.  Creating creativity: user interfaces for supporting innovation , 2000, TCHI.

[23]  Vimal Viswanathan,et al.  A study on the role of physical models in the mitigation of design fixation , 2014 .

[24]  Robert J. Youmans,et al.  The effects of physical prototyping and group work on the reduction of design fixation , 2011 .

[25]  Julie S. Linsey,et al.  The effects of time and incubation on design concept generation , 2014 .

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

[27]  Petra Badke-Schaub,et al.  The Influence of Different Pictorial Representations during Idea Generation. , 2011 .

[28]  Claudia Eckert,et al.  DESIGN INSPIRATION AND DESIGN PERFORMANCE , 1997 .

[29]  Petra Badke-Schaub,et al.  Perspectives on design creativity and innovation research , 2013 .

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

[31]  Monte M. Page,et al.  4 – Demand Compliance in Laboratory Experiments , 1981 .

[32]  Petra Badke-Schaub,et al.  What inspires designers? Preferences on inspirational approaches during idea generation , 2014 .

[33]  Luis A. Vasconcelos,et al.  Computer-Based "Mental Set" Tasks: An Alternative Approach to Studying Design Fixation , 2017 .

[34]  Steven M. Smith,et al.  Metrics for measuring ideation effectiveness , 2003 .

[35]  Barry Kudrowitz,et al.  Getting to the Novel Ideas: Exploring the Alternative Uses Test of Divergent Thinking , 2013 .

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

[37]  J. LeFevre,et al.  Do Written Instructions Need Examples , 1986 .

[38]  David R. Wallace,et al.  The influence of sketch quality on perception of product-idea creativity , 2012, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

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

[40]  Petra Badke-Schaub,et al.  FIND YOUR INSPIRATION: EXPLORING DIFFERENT LEVELS OF ABSTRACTION IN TEXTUAL STIMULI , 2012 .

[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]  Saeid Nourian,et al.  Are their designs iterative or fixated? Investigating design patterns from student digital footprints in computer-aided design software , 2018 .

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

[44]  Zhang Lujun Design fixation and solution quality under exposure to example solution , 2011, 2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering.

[45]  B. Nijstad,et al.  Cognitive stimulation and interference in groups: Exposure effects in an idea generation task , 2002 .

[46]  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.

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

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

[49]  Carlos Cardoso,et al.  Inspiration and Fixation: The Influences of Example Designs and System Properties in Idea Generation , 2017 .

[50]  Jami J. Shah,et al.  Empirical Studies of Designer Thinking: Past, Present, and Future , 2015 .

[51]  Lassi A. Liikkanen,et al.  Exposure Effects in Design Idea Generation: Unconscious Conformity or a Product of Sampling Probability? , 2006 .

[52]  Lassi A. Liikkanen,et al.  Inspiring design idea generation: insights from a memory-search perspective , 2010 .

[53]  Seda Yilmaz,et al.  Cognitive heuristics in design: Instructional strategies to increase creativity in idea generation , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.