A Random Walk Modeling Framework for Boosting the Creativity of Humans and AI

Published Online:https://doi.org/10.1287/isre.2024.0982

References

  • Aggarwal V, Hwang EH, Tan Y (2021) Learning to be creative: A mutually exciting spatiotemporal point process model for idea generation in open innovation. Inform. Systems Res. 32(4):1214–1235.LinkGoogle Scholar
  • Altshuller G (1984) Creativity as an Exact Science: The Theory of the Solution of Inventive Problems, vol. 2 (CRC Press, Boca Raton, FL).CrossrefGoogle Scholar
  • Anderson BR, Shah JH, Kreminski M (2024) Homogenization effects of large language models on human creative ideation. Bailey B, Latulipe C, eds. Proc. 16th Conf. Creativity Cognition (Association for Computing Machinery, New York), 413–425.Google Scholar
  • Barabási AL (2013) Network science. Philosophical Trans. Roy. Soc. A Math. Physical Engrg. Sci. 371(1987):201–203.Google Scholar
  • Barbot B, Hass RW, Reiter-Palmon R (2019) Creativity assessment in psychological research: (re)setting the standards. Psych. Aesthetics Creative Arts 13(2):233–240.CrossrefGoogle Scholar
  • Baronchelli A, Ferrer-I-Cancho R, Pastor-Satorras R, Chater N, Christiansen MH (2013) Networks in cognitive science. Trends Cognitive Sci. 17(7):348–360.CrossrefGoogle Scholar
  • Beaty RE, Johnson DR (2021) Automating creativity assessment with semdis: An open platform for computing semantic distance. Behav. Res. Methods 53(2):757–780.CrossrefGoogle Scholar
  • Benedek M, Beaty RE, Schacter DL, Kenett YN (2023) The role of memory in creative ideation. Nature Rev. Psych. 2(4):246–257.CrossrefGoogle Scholar
  • Boden MA (2004) The Creative Mind: Myths and Mechanisms (Routledge, London).CrossrefGoogle Scholar
  • Boden MA (2009) Computer models of creativity. AI Magazine 30(3):23–23.CrossrefGoogle Scholar
  • Boussioux L, Lane JN, Zhang M, Jacimovic V, Lakhani KR (2024) The crowdless future? Generative AI and creative problem-solving. Organ. Sci. 35(5):1589–1607.LinkGoogle Scholar
  • Chen Z, Chan J (2024) Large language model in creative work: The role of collaboration modality and user expertise. Management Sci. 70(12):9101–9117.LinkGoogle Scholar
  • Cleese J (2020) Creativity: A Short and Cheerful Guide (Crown, New York).Google Scholar
  • Csikszentmihalyi M (1997) Flow and the Psychology of Discovery and Invention, vol. 39 (HarperPerennial, New York).Google Scholar
  • Das P, Quanz B, Chen P, Ahn J, Shah D (2020) Toward a neuro-inspired creative decoder. Bessiere C, ed. Proc. 29th Internat. Joint Conf. Artificial Intelligence (International Joint Conferences on Artificial Intelligence), 2746–2753.CrossrefGoogle Scholar
  • Davis MA (2009) Understanding the relationship between mood and creativity: A meta-analysis. Organ. Behav. Human Decision Processing 108(1):25–38.CrossrefGoogle Scholar
  • De Bono E (1970) Lateral Thinking (Penguin, London).Google Scholar
  • Diedrich J, Benedek M, Jauk E, Neubauer AC (2015) Are creative ideas novel and useful? Psych. Aesthetic Creative Arts 9(1):35–40.CrossrefGoogle Scholar
  • Ding M (2020) Logical Creative Thinking Methods, 1st ed. (Routledge, London).CrossrefGoogle Scholar
  • Doshi AR, Hauser OP (2024) Generative AI enhances individual creativity but reduces the collective diversity of novel content. Sci. Adv. 10(28):eadn5290.CrossrefGoogle Scholar
  • Dumas D, Organisciak P, Doherty M (2020) Measuring divergent thinking originality with human raters and text-mining models: A psychometric comparison of methods. Psych. Aesthetic Creative Arts 15(4):645–663.CrossrefGoogle Scholar
  • Elam JJ, Mead M (1990) Can software influence creativity? Inform. Systems Res. 1(1):1–22.LinkGoogle Scholar
  • Finke RA, Ward TB, Smith SM (1996) Creative Cognition: Theory, Research, and Applications (MIT Press, Cambridge, MA).Google Scholar
  • Fornito A, Zalesky A, Bullmore E (2016) Fundamentals of Brain Network Analysis (Academic Press, New York).Google Scholar
  • Garfield MJ, Taylor NJ, Dennis AR, Satzinger JW (2001) Modifying paradigms—Individual differences, creativity techniques, and exposure to ideas in group idea generation. Inform. Systems Res. 12(3):322–333.LinkGoogle Scholar
  • Geschka H (1983) Creativity techniques in product planning and development: A view from West Germany. R&D Management 13(3):169–183.CrossrefGoogle Scholar
  • Goñi J, Arrondo G, Sepulcre J, Martincorena I, Vélez de Mendizábal N, Corominas-Murtra B, Bejarano B, et al. (2011) The semantic organization of the animal category: Evidence from semantic verbal fluency and network theory. Cognitive Processing 12:183–196.CrossrefGoogle Scholar
  • Gordon WJ (1961) Synectics: The Development of Creative Capacity (Harper, New York).Google Scholar
  • Guilford JP (1950) Creativity. Amer. Psych. 5(9):444–454.CrossrefGoogle Scholar
  • Guzik EE, Byrge C, Gilde C (2023) The originality of machines: AI takes the Torrance Test. J. Creativity 33(3):100065.CrossrefGoogle Scholar
  • Han J, Forbes H, Schaefer D (2021) An exploration of how creativity, functionality, and aesthetics are related in design. Res. Engrg. Design 32(3):289–307.CrossrefGoogle Scholar
  • Heinen DJ, Johnson DR (2018) Semantic distance: An automated measure of creativity that is novel and appropriate. Psych. Aesthetic Creative Arts 12(2):144–156.CrossrefGoogle Scholar
  • Higgins JM (1994) 101 Creative Problem Solving Techniques: The Handbook of New Ideas for Business (New Management Pub. Co., Winter Park, FL).Google Scholar
  • Hou JJ, Wang L, Wang G, Wang HJ, Yang S (2025) The double-edged roles of generative AI in the creative process: Experiments on design work. Inform. Systems Res., ePub ahead of print October 3, https://doi.org/10.1287/isre.2024.0937.LinkGoogle Scholar
  • Kenett YN (2019) What can quantitative measures of semantic distance tell us about creativity? Current Opinion Behav. Sci. 27:11–16.CrossrefGoogle Scholar
  • Kenett YN, Anaki D, Faust M (2014) Investigating the structure of semantic networks in low and high creative persons. Frontiers Human Neurosci. 8:407.CrossrefGoogle Scholar
  • Kirjavainen S, Hölttä-Otto K (2021) Deconstruction of idea generation methods into a framework of creativity mechanisms. J. Mechanical Design 143(3):031401.CrossrefGoogle Scholar
  • Koestler A (1964) The Act of Creation (Hutchinson, London).Google Scholar
  • Koivisto M, Grassini S (2023) Best humans still outperform artificial intelligence in a creative divergent thinking task. Sci. Rep. 13(1):13601.CrossrefGoogle Scholar
  • Lacaux C, Andrillon T, Bastoul C, Idir Y, Fonteix-Galet A, Arnulf I, Oudiette D (2021) Sleep onset is a creative sweet spot. Sci. Adv. 7(50):eabj5866.CrossrefGoogle Scholar
  • Lawler GF, Limic V (2010) Random Walk: A Modern Introduction, vol. 123 (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • McFadzean E (1999) Creativity in MS/OR: Choosing the appropriate technique. Interfaces (Providence) 29(5):110–122.LinkGoogle Scholar
  • McGuire J, De Cremer D, Van de Cruys T (2024) Establishing the importance of co-creation and self-efficacy in creative collaboration with artificial intelligence. Sci. Rep. 14(1):18525.CrossrefGoogle Scholar
  • Mednick SA (1962) The associative basis of the creative process. Psych. Rev. 69(3):220–232.CrossrefGoogle Scholar
  • Miller AI (2019) The Artist in the Machine: The World of AI-Powered Creativity (MIT Press, Cambridge, MA).CrossrefGoogle Scholar
  • Olson JA, Nahas J, Chmoulevitch D, Cropper SJ, Webb ME (2021) Naming unrelated words predicts creativity. Proc. Natl. Acad. Sci. USA 118(25):e2022340118.CrossrefGoogle Scholar
  • Pennington J, Socher R, Manning CD (2014) GloVe: Global vectors for word representation. Moschitti A, ed. Proc. 2014 Conf. Empirical Methods Natural Language Processing (EMNLP) (Association for Computational Linguistics, Stroudsburg, PA), 1532–1543.CrossrefGoogle Scholar
  • Perkins DN (1981) The Mind’s Best Work (Harvard University Press, Cambridge, MA).CrossrefGoogle Scholar
  • Plucker JA, Beghetto RA, Dow GT (2004) Why isn’t creativity more important to educational psychologists? Potentials, pitfalls, and future directions in creativity research. Ed. Psych. 39(2):83–96.CrossrefGoogle Scholar
  • Prabhakaran R, Green AE, Gray JR (2014) Thin slices of creativity: Using single-word utterances to assess creative cognition. Behav. Res. Methods 46(3):641–659.CrossrefGoogle Scholar
  • Rickards T (1974) Problem-Solving Through Creative Analysis (Gower Press, Essex, UK).Google Scholar
  • Rose M (2009) Writer’s Block: The Cognitive Dimension (SIU Press, Carbondale, IL).Google Scholar
  • Runco MA, Chand I (1995) Cognition and creativity. Ed. Psych. Rev. 7(3):243–267.CrossrefGoogle Scholar
  • Runco MA, Jaeger GJ (2012) The standard definition of creativity. Creative Res. J. 24(1):92–96.CrossrefGoogle Scholar
  • Shepard RN (1980) Multidimensional scaling, tree-fitting, and clustering. Science (1979) 210(4468):390–398.Google Scholar
  • Smith SM (1995) Fixation, Incubation, and Insight in Memory and Creative Thinking (MIT Press, Cambridge, MA).CrossrefGoogle Scholar
  • Smith GF (1998) Idea-generation techniques: A formulary of active ingredients. J. Creative Behav. 32(2):107–134.CrossrefGoogle Scholar
  • Stevenson C, Smal I, Baas M, Grasman R, van der Maas H (2022) Putting GPT-3’s creativity to the (alternative uses) test. Preprint, submitted June 10, https://arxiv.org/abs/2206.08932.Google Scholar
  • Steyvers M, Tenenbaum JB (2005) The large-scale structure of semantic networks: Statistical analyses and a model of semantic growth. Cognitive Sci. 29(1):41–78.CrossrefGoogle Scholar
  • Torrance EP (1966) Torrance Tests of Creative Thinking: Norms-Technical Manual (Research Edition) - Verbal Tests, Forms A and B; Figural Tests, Forms A and B (Personnel Press, Princeton, NJ).Google Scholar
  • Toubia O, Netzer O (2017) Idea generation, creativity, and prototypicality. Marketing Sci. 36(1):1–20.LinkGoogle Scholar
  • Troyer AK, Moscovitch M, Winocur G (1997) Clustering and switching as two components of verbal fluency: Evidence from younger and older healthy adults. Neuropsychology 11(1):138–146.CrossrefGoogle Scholar
  • VanGundy AB (1988) Techniques of Structured Problem Solving (Van Nostrand Reinhold, New York).Google Scholar
  • Wang K (2019) Towards a taxonomy of idea generation techniques. Foundations of Management 11:65–80.CrossrefGoogle Scholar
  • Wang X, Chen Q, Zhuang K, Zhang J, Cortes RA, Holzman DD, Fan L, et al. (2024) Semantic associative abilities and executive control functions predict novelty and appropriateness of idea generation. Comm. Biology 7(1):703.CrossrefGoogle Scholar
  • Weiss GH, Rubin RJ (1983) Random walks: Theory and selected applications. Prigogine I, Rice SA, eds. Advances in Chemical Physics, vol. 52 (John Wiley & Sons, New York), 363–505.Google Scholar
  • Wießner I, Falchi M, Maia LO, Daldegan-Bueno D, Palhano-Fontes F, Mason NL, Ramaekers JG, et al. (2022) LSD and creativity: Increased novelty and symbolic thinking, decreased utility and convergent thinking. J. Psychopharmacology 36(3):348–359.CrossrefGoogle Scholar
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