A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli

Despite the fact that inspirational stimuli (e.g., analogies) have been shown to be an effective means to assist designers, little is known about the neurological processes supporting inspired design ideation. To explore the impact of inspirational stimuli on design ideation, an fMRI concept generation task was developed (N = 21). Results demonstrate that inspirational stimuli of any kind (near or far from the problem space) improve the fluency of idea generation. Furthermore, neuroimaging data help to uncover two distinct brain activation networks based upon reasoning with and without inspirational stimuli. We term these inspired internal search and unsuccessful external search. These brain activation networks give insight into differences between ideating with and without inspirational stimuli, and between inspirational stimuli of varying distances.

[1]  Karl T. Ulrich,et al.  Innovation Tournaments: Creating and Selecting Exceptional Opportunities , 2009 .

[2]  J. Kounios,et al.  The Aha! Moment , 2009 .

[3]  Arthur B. Markman,et al.  Design by Analogy: A Study of the WordTree Method for Problem Re-Representation , 2012 .

[4]  Willemien Visser,et al.  Two functions of analogical reasoning in design: a cognitive-psychology approach , 1996 .

[5]  R. Poldrack Can cognitive processes be inferred from neuroimaging data? , 2006, Trends in Cognitive Sciences.

[6]  Katerina Alexiou,et al.  Involvement of right dorsolateral prefrontal cortex in ill-structured design cognition: An fMRI study , 2010, Brain Research.

[7]  J. Cagan,et al.  A Meta-Analytic Approach for Uncovering Neural Activation Patterns of Sustainable Product Preference Decisions , 2017 .

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

[9]  Tyrone D. Cannon,et al.  Analogical reasoning in working memory: Resources shared among relational integration, interference resolution, and maintenance , 2007, Memory & cognition.

[10]  Mark W. Woolrich,et al.  FSL , 2012, NeuroImage.

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

[12]  John S. Gero,et al.  Fixation Effects: Do They Exist in Design Problem Solving? , 1993 .

[13]  D. Sharp,et al.  The role of the posterior cingulate cortex in cognition and disease. , 2014, Brain : a journal of neurology.

[14]  Yoed N. Kenett,et al.  Robust prediction of individual creative ability from brain functional connectivity , 2018, Proceedings of the National Academy of Sciences.

[15]  Peter C. Hansen,et al.  Neural correlates of intelligence as revealed by fMRI of fluid analogies , 2005, NeuroImage.

[16]  Kenneth D. Forbus,et al.  MAC/FAC: A Model of Similarity-Based Retrieval , 1995, Cogn. Sci..

[17]  G. Josse,et al.  Rostral and caudal prefrontal contribution to creativity: a meta-analysis of functional imaging data , 2013, Front. Hum. Neurosci..

[18]  Jonathan Cagan,et al.  Inside the Mind: Using Neuroimaging to Understand Moral Product Preference Judgments Involving Sustainability , 2017 .

[19]  M. Bar,et al.  The parahippocampal cortex mediates spatial and nonspatial associations. , 2007, Cerebral cortex.

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

[21]  Robert J. Sternberg,et al.  Component Processes in Analogical Reasoning. , 1977 .

[22]  Mandy J. Maguire,et al.  An fMRI investigation of cognitive stages in reasoning by analogy , 2010, Brain Research.

[23]  Brian P. Bailey,et al.  Exploring the Utility of Bayesian Truth Serum for Assessing Design Knowledge , 2014, Hum. Comput. Interact..

[24]  Julie S. Linsey,et al.  Design Fixation and Its Mitigation: A Study on the Role of Expertise , 2013 .

[25]  Steven E. Petersen,et al.  The mixed block/event-related design , 2012, NeuroImage.

[26]  Scarlett R. Miller,et al.  The Impact of Example Modality and Physical Interactions on Design Creativity , 2014 .

[27]  Jonathan Cagan,et al.  Using crowdsourcing to provide analogies for designer ideation in a cognitive study , 2017 .

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

[29]  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 .

[30]  Bruce L. Miller,et al.  Distraction during relational reasoning: The role of prefrontal cortex in interference control , 2008, Neuropsychologia.

[31]  Edward M. Bowden,et al.  The Prepared Mind , 2006, Psychological science.

[32]  Christian D. Schunn,et al.  Do the best design ideas (really) come from conceptually distant sources of inspiration , 2015 .

[33]  M. Moscovitch,et al.  Top-down and bottom-up attention to memory: A hypothesis (AtoM) on the role of the posterior parietal cortex in memory retrieval , 2008, Neuropsychologia.

[34]  Nocholas V. Findler Analogical reasoning in design processes , 1981 .

[35]  Jonathan Cagan,et al.  The Impact of Sustainability on Consumer Preference Judgments of Product Attributes , 2015 .

[36]  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 .

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

[38]  Iroise Dumontheil,et al.  The gateway hypothesis of rostral prefrontal cortex (area 10) function , 2007, Trends in Cognitive Sciences.

[39]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

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

[41]  Rutvik H. Desai,et al.  The neurobiology of semantic memory , 2011, Trends in Cognitive Sciences.

[42]  Adam E. Green,et al.  Frontopolar activity and connectivity support dynamic conscious augmentation of creative state , 2015, Human brain mapping.

[43]  Kaori L. Ito,et al.  Shared and distinct contributions of rostrolateral prefrontal cortex to analogical reasoning and episodic memory retrieval , 2016, Human brain mapping.

[44]  John Kounios,et al.  The Aha! Moment , 2009, Annual review of psychology.

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

[46]  Ning Liu,et al.  Pictionary-based fMRI paradigm to study the neural correlates of spontaneous improvisation and figural creativity , 2015, Scientific Reports.

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

[48]  M. Honda,et al.  Toward Neuroanatomical Models of Analogy: A Positron Emission Tomography Study of Analogical Mapping , 2000, Cognitive Psychology.

[49]  Michael F. Bonner,et al.  Where Is the Anterior Temporal Lobe and What Does It Do? , 2013, The Journal of Neuroscience.

[50]  Charles Dobson,et al.  Evaluative and generative modes of thought during the creative process , 2012, NeuroImage.

[51]  Anjan Chatterjee,et al.  A bilateral frontoparietal network underlies visuospatial analogical reasoning , 2012, NeuroImage.

[52]  Lmm Lambèr Royakkers,et al.  The design analogy : a model for moral problem solving , 2006 .

[53]  Adam E. Green Creativity, Within Reason , 2016 .

[54]  Shigeru Yamane,et al.  Neural networks involved in artistic creativity , 2009, Human brain mapping.

[55]  Jonathan Cagan,et al.  Understanding Consumer Tradeoffs Between Form and Function Through Metaconjoint and Cognitive Neuroscience Analyses , 2013 .

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

[57]  Edward M. Bowden,et al.  Neural Activity When People Solve Verbal Problems with Insight , 2004, PLoS biology.

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

[59]  Kevin Otto,et al.  Function Based Design-by-Analogy: A Functional Vector Approach to Analogical Search , 2014 .

[60]  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.

[61]  Valentin Riedl,et al.  Evaluation of Multiband EPI Acquisitions for Resting State fMRI , 2015, PloS one.

[62]  Ning Liu,et al.  Changes in Brain Activation Associated with Spontaneous Improvization and Figural Creativity After Design-Thinking-Based Training: A Longitudinal fMRI Study , 2016, Cerebral cortex.

[63]  Gabriela Goldschmidt,et al.  Variances in the impact of visual stimuli on design problem solving performance , 2006 .

[64]  S. Gilbert,et al.  Exploring the neurological basis of design cognition using brain imaging: some preliminary results , 2009 .

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

[66]  Noah A. Shamosh,et al.  Frontopolar cortex mediates abstract integration in analogy , 2006, Brain Research.