Tracing executive functions in insight

References

• Ash, I. K., & Wiley, J. (2006). The nature of restructuring in insight: An individual-differences approach. Psychonomic Bulletin & Review, 13(1), 66–73. doi:10.3758/BF03193814
   PubMed Web of Science ®Google Scholar
• Baddeley, A. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417–423. doi:10.1016/S1364-6613(00)01538-2
   PubMed Web of Science ®Google Scholar
• Baddeley, A. (2012). Working memory: Theories, models, and controversies. Annual Review of Psychology, 63, 1–29. doi:10.1146/annurev-psych-120710-100422
   PubMed Web of Science ®Google Scholar
• Baddeley, A. D., & Hitch, G. (1974). Working memory. In Psychology of learning and motivation (Vol. 8, pp. 47–89). New York: Academic Press. doi:10.1016/S0079-7421(08)60452-1
   Google Scholar
• Baddeley, A. D., & Logie, R. H. (1999). Working memory: The multiple-component model. In A. Miyake & P. Shah (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 28–61). Cambridge: Cambridge University Press. doi:10.1017/CBO9781139174909.005
   Google Scholar
• Ball, L. J., Marsh, J. E., Litchfield, D., Cook, R. L., & Booth, N. (2015). When distraction helps: Evidence that concurrent articulation and irrelevant speech can facilitate insight problem solving. Thinking & Reasoning, 21(1), 76–96. doi:10.1080/13546783.2014.934399
   Web of Science ®Google Scholar
• Ball, L. J., & Stevens, A. (2009). Evidence for a verbally-based analytic component to insight problem solving. In N. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1060–1065). Cognitive Science Society.
   Google Scholar
• Chein, J. M., & Weisberg, R. W. (2014). Working memory and insight in verbal problems: Analysis of compound remote associates. Memory & Cognition, 42(1), 67–83. doi:10.3758/s13421-013-0343-4
   PubMed Web of Science ®Google Scholar
• Chein, J. M., Weisberg, R. W., Streeter, N. L., & Kwok, S. (2010). Working memory and insight in the nine-dot problem. Memory & Cognition, 38(7), 883–892. doi:10.3758/MC.38.7.883
   PubMed Web of Science ®Google Scholar
• Chuderski, A. (2014). How well can storage capacity, executive control, and fluid reasoning explain insight problem solving. Intelligence, 46(1), 258–270. doi:10.1016/j.intell.2014.07.010
   Google Scholar
• Chuderski, A., & Jastrzębski, J. (2018a). Much ado about aha!: Insight problem solving is strongly related to working memory capacity and reasoning ability. Journal of Experimental Psychology. General, 147(2), 257–281. doi:10.1037/xge0000378
   PubMed Web of Science ®Google Scholar
• Chuderski, A., & Jastrzębski, J. (2018b). No role of initial problem representation in insight problem solving. Creativity Research Journal, 30(4), 428–438. doi:10.1080/10400419.2018.1531674
   Web of Science ®Google Scholar
• Chuderski, A., & Jastrzębski, J. (2018c). The relationship of insight problem solving to analytical thinking: Evidence from psychometric studies. In F. Vallée-Tourangeau (Ed.), Insight: On the origins of new ideas (pp. 120–142). London and New York: Routledge. doi:10.4324/9781315268118
   Google Scholar
• Chuderski, A., Jastrzębski, J., & Kucwaj, H. (2021). How physical interaction with insight problems affects solution rates, hint use, and cognitive load. British Journal of Psychology, 112(1), 120–143. doi:10.1111/bjop.12442
   PubMed Web of Science ®Google Scholar
• Cushen, P. J., & Wiley, J. (2012). Cues to solution, restructuring patterns, and reports of insight in creative problem solving. Consciousness and Cognition, 21(3), 1166–1175. doi:10.1016/j.concog.2012.03.013
   PubMed Web of Science ®Google Scholar
• Danek, A. H., Williams, J., & Wiley, J. (2020). Closing the gap: Connecting sudden representational change to the subjective Aha! experience in insightful problem solving. Psychological Research, 84(1), 111–119. doi:10.1007/s00426-018-0977-8
   PubMed Web of Science ®Google Scholar
• De Dreu, C. K. W., Nijstad, B. A., Baas, M., Wolsink, I., & Roskes, M. (2012). Working memory benefits creative insight, musical improvisation, and original ideation through maintained task-focused attention. Personality & Social Psychology Bulletin, 38(5), 656–669. doi:10.1177/0146167211435795
   PubMed Web of Science ®Google Scholar
• DeCaro, M. S., Van Stockum, C. A., & Wieth, M. B. (2016). When higher working memory capacity hinders insight. Journal of Experimental Psychology. Learning, Memory, and Cognition, 42(1), 39–49. doi:10.1037/xlm0000152
   PubMed Web of Science ®Google Scholar
• Durso, F. T., Rea, C. B., & Dayton, T. (1994). Graph-theoretic confirmation of restructuring during insight. Psychological Science, 5(2), 94–98. doi:10.1111/j.1467-9280.1994.tb00637
   Web of Science ®Google Scholar
• Ellis, D. M., Robison, M. K., & Brewer, G. A. (2021). The cognitive underpinnings of multiply-constrained problem solving. Journal of Intelligence, 9(1), 7. doi:10.3390/jintelligence9010007
   PubMed Web of Science ®Google Scholar
• Fedor, A., Szathmáry, E., & Öllinger, M. (2015). Problem solving stages in the five square problem. Frontiers in Psychology, 6, 1050. doi:10.3389/fpsyg.2015.01050
   PubMed Web of Science ®Google Scholar
• Fleck, J. I. (2008). Working memory demands in insight versus analytic problem solving. European Journal of Cognitive Psychology, 20(1), 139–176. doi:10.1080/09541440601016954
   Web of Science ®Google Scholar
• Gilhooly, K. J., & Fioratou, E. (2009). Executive functions in insight versus non-insight problem solving: An individual differences approach. Thinking & Reasoning, 15(4), 355–376. doi:10.1080/13546780903178615
   Web of Science ®Google Scholar
• Gilhooly, K. J., & Murphy, P. (2005). Differentiating insight from non-insight problems. Thinking & Reasoning, 11(3), 279–302. doi:10.1080/13546780442000187
   Web of Science ®Google Scholar
• Gilhooly, K. J., & Webb, M. E. (2018). Working memory in insight problem solving. In F. Vallée-Tourangeau (Ed.), Insight: On the origins of new ideas (pp. 105–119). London and New York: Routledge. doi:10.4324/9781315268118
   Google Scholar
• Jarosz, A. F., Colflesh, G. J. H., & Wiley, J. (2012). Uncorking the muse: Alcohol intoxication facilitates creative problem solving. Consciousness and Cognition, 21(1), 487–493. doi:10.1016/j.concog.2012.01.002
   PubMed Web of Science ®Google Scholar
• Kahneman, D. (1973). Attention and effort (Vol. 1063, pp. 218–226). Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Korovkin, S., Vladimirov, I., Chistopolskaya, A., & Savinova, A. (2018). How working memory provides representational change during insight problem solving. Frontiers in Psychology, 9(1984), 1864. doi:10.3389/fpsyg.2018.01864
   PubMedGoogle Scholar
• Korovkin, S., Vladimirov, I., & Savinova, A. (2014). The dynamics of working memory load in insight problem solving. The Russian Journal of Cognitive Science, 1(4), 67–81.
   Google Scholar
• Laukkonen, R. E., & Tangen, J. M. (2017). Can observing a Necker cube make you more insightful? Consciousness and Cognition, 48, 198–211. doi:10.1016/j.concog.2016.11.011
   PubMed Web of Science ®Google Scholar
• Lavric, A., Forstmeier, S., & Rippon, G. (2000). Differences in working memory involvement in analytical and creative tasks: An ERP study. Neuroreport, 11(8), 1613–1618. doi:10.1097/00001756-200006050-00004
   PubMed Web of Science ®Google Scholar
• Lu, J. G., Akinola, M., & Mason, M. F. (2017). “Switching on” creativity: Task switching can increase creativity by reducing cognitive fixation. Organizational Behavior and Human Decision Processes, 139, 63–75. doi:10.1016/j.obhdp.2017.01.005
   Web of Science ®Google Scholar
• Lv, K. (2015). The involvement of working memory and inhibition functions in the different phases of insight problem solving. Memory & Cognition, 43(5), 709–722. doi:10.3758/s13421-014-0498-7
   PubMed Web of Science ®Google Scholar
• Lyashevskaya, O. N., & Sharov, S. A. (2009). Chastotnyj slovar’ sovremennogo russkogo yazyka (na materialah Nacional’nogo korpusa russkogo yazyka) [Frequency dictionary of the modern Russian language (Based on the materials of the Russian National Corpus)] Moskva: Azbukovnik. (in Russian)
   Google Scholar
• Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. doi:10.1006/cogp.1999.0734
   PubMed Web of Science ®Google Scholar
• Morey, C. C., & Cowan, N. (2004). When visual and verbal memories compete: Evidence of cross-domain limits in working memory. Psychonomic Bulletin & Review, 11(2), 296–301. doi:10.3758/BF03196573
   PubMed Web of Science ®Google Scholar
• Murray, M. A., & Byrne, R. M. J. (2005). Attention and working memory in insight problem-solving. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society (Vol. 27, pp. 1571–1575). Lawrence Erlbaum Associates. Retrieved from http://www.psych.unito.it/csc/cogsci05/frame/poster/2/f285-murray.pdf
   Google Scholar
• Nęcka, E., Żak, P., & Gruszka, A. (2016). Insightful imagery is related to working memory updating. Frontiers in Psychology, 7, 137. doi:10.3389/fpsyg.2016.00137
   PubMed Web of Science ®Google Scholar
• Ohlsson, S. (2011). Deep learning: How the mind overrides experience. New York: Cambridge University Press.
   Google Scholar
• Öllinger, M., Jones, G., & Knoblich, G. (2008). Investigating the effect of mental set on insight problem solving. Experimental Psychology, 55(4), 269–282. doi:10.1027/1618-3169.55.4.270
   PubMed Web of Science ®Google Scholar
• Öllinger, M., Jones, G., & Knoblich, G. (2014). The dynamics of search, impasse, and representational change provide a coherent explanation of difficulty in the nine-dot problem. Psychological Research, 78(2), 266–275. doi:10.1007/s00426-013-0494-8
   PubMed Web of Science ®Google Scholar
• Ormerod, T. C., MacGregor, J. N., & Chronicle, E. P. (2002). Dynamics and constraints in insight problem solving. Journal of Experimental Psychology. Learning, Memory, and Cognition, 28(4), 791–799. doi:10.1037//0278-7393.28.4.791
   PubMed Web of Science ®Google Scholar
• Peirce, J. W., Gray, J. R., Simpson, S., MacAskill, M. R., Höchenberger, R., Sogo, H., … Lindeløv, J. (2019). PsychoPy2: Experiments in behavior made easy. Behavior Research Methods, 51(1), 195–203. doi:10.3758/s13428-018-01193-y
   PubMed Web of Science ®Google Scholar
• Reverberi, C., Toraldo, A., D’Agostini, S., & Skrap, M. (2005). Better without (lateral) frontal cortex? Insight problems solved by frontal patients. Brain: A Journal of Neurology, 128(Pt 12), 2882–2890. doi:10.1093/brain/awh577
   PubMedGoogle Scholar
• Salmon‐Mordekovich, N., & Leikin, M. (2022). The cognitive–creative profiles of insightful problem solvers: A person‐centered insight study. The Journal of Creative Behavior, 56(3), 396–413. doi:10.1002/jocb.536
   Web of Science ®Google Scholar
• Unsworth, N., Brewer, G. A., & Spillers, G. J. (2013). Working memory capacity and retrieval from long-term memory: The role of controlled search. Memory & Cognition, 41(2), 242–254. doi:10.3758/s13421-012-0261-x
   PubMed Web of Science ®Google Scholar
• Unsworth, N., & Engle, R. W. (2007). The nature of individual differences in working memory capacity: Active maintenance in primary memory and controlled search from secondary memory. Psychological Review, 114(1), 104–132. doi:10.1037/0033-295X.114.1.104
   PubMed Web of Science ®Google Scholar
• Wiley, J., & Jarosz, A. F. (2012). How working memory capacity affects problem solving. In B. H. Ross (Ed.), Psychology of learning and motivation (Vol. 56, pp. 185–227). San Diego: Elsevier Inc. doi:10.1016/B978-0-12-394393-4.00006-6
   Google Scholar
• Xing, Q., Lu, Z., & Hu, J. (2019). The effect of working memory updating ability on spatial insight problem solving: Evidence from behavior and eye movement studies. Frontiers in Psychology, 10, 927. doi:10.3389/fpsyg.2019.00927
   PubMed Web of Science ®Google Scholar
• Yeh, Y., Tsai, J.-L., Hsu, W.-C., & Lin, C. F. (2014). A model of how working memory capacity influences insight problem solving in situations with multiple visual representations: An eye tracking analysis. Thinking Skills and Creativity, 13, 153–167. doi:10.1016/j.tsc.2014.04.003
   Web of Science ®Google Scholar