Abstract
In the present article, we examine the contribution of working memory (WM) to solution of the nine-dot problem, a classic insight problem. Prior research has generally demonstrated a limited role for WM in the solution of insight problems, which are typically assumed to be solved without conscious planning. However, MacGregor, Ormerod, and Chronicle (2001) proposed an information-processing model that solves the nine-dot problem by relying on a visual WM mechanism, which they term lookahead. In the present research, we examine whether performance on the nine-dot problem is indeed predicted by WM capacity. The results indicated that spatial WM capacity predicted the tendency to draw lines outside the configuration of dots and predicted the solution on a hint-aided version of the problem. Furthermore, within those solving the problem, higher spatial WM capacity was also related to faster solutions. The results support the information-processing model and suggest a more essential role for WM and planning in insight problem solving than has previously been acknowledged.
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Ash, I. K., & Wiley, J. (2006). The nature of restructuring in insight: An individual-differences approach. Psychonomic Bulletin & Review, 13, 66–73.
Chronicle, E. P., Ormerod, T. C., & MacGregor, J. N. (2001). When insight just won’t come: The failure of visual cues in the nine-dot problem. Quarterly Journal of Experimental Psychology, 54A, 903–919.
Fleck, J. I. (2008). Working memory demands in insight versus analytic problem solving. European Journal of Cognitive Psychology, 20, 139–176.
Fleck, J. I., & Weisberg, R. W. (2004). The use of verbal protocols as data: An analysis of insight in the candle problem. Memory & Cognition, 32, 990–1006.
Gilhooly, K. J. (2005). Working memory and planning. In R. Morris & G. Ward (Eds.), The cognitive psychology of planning (pp. 71–88). London: Routledge.
Gilhooly, K. J., & Murphy, P. (2005). Differentiating insight from non-insight problems. Thinking & Reasoning, 11, 279–302.
Heitz, R. P., & Engle, R. W. (2007). Focusing the spotlight: Individual differences in visual attention control. Journal of Experimental Psychology: General, 136, 217–240.
Kane, M. J., Hambrick, D. Z., Tuholski, S. W., Wilhelm, O., Payne, T. W., & Engle, R. W. (2004). The generality of working memory capacity: A latent-variable approach to verbal and visuospatial memory span and reasoning. Journal of Experimental Psychology: General, 133, 189–217.
Kershaw, T. C., & Ohlsson, S. (2001). Training for insight: The case of the nine-dot problem. In J. D. Moore & K. Stennigs (Eds.), Proceedings of the 23rd Annual Conference of the Cognitive Science Society (pp. 489–493). Mahwah, NJ: Erlbaum.
Kershaw, T. C., & Ohlsson, S. (2004). Multiple causes of difficulty in insight: The case of the nine-dot problem. Journal of Experimental Psychology: Learning, Memory, & Cognition, 30, 3–13.
Lavric, A., Forstmeier, S., & Rippon, G. (2000). Differences in working memory involvement in analytical and creative tasks: an ERP study. NeuroReport, 11, 1613–1618.
Lung, C.-T., & Dominowski, R. L. (1985). Effects of strategy instructions and practice on 9-Dot problem-solving. Journal of Experimental Psychology: Learning, Memory, & Cognition, 11, 804–811.
MacGregor, J. N., Ormerod, T. C., & Chronicle, E. P. (2001). Information processing and insight: A process model of performance on the nine-dot and related problems. Journal of Experimental Psychology: Learning, Memory, & Cognition, 27, 176–201.
Metcalfe, J., & Wiebe, D. (1987). Intuition in insight and noninsight problem-solving. Memory & Cognition, 15, 238–246.
Miyake, A., Friedman, N. P., Rettinger, D. A., Shah, P., & Hegarty, M. (2001). How are visuospatial working memory, executive functioning, and spatial abilities related? A latent-variable analysis. Journal of Experimental Psychology: General, 130, 621–640.
Ohlsson, S. (1992). Information processing explanations of insight and related phenomena. In M. Keane & K. J. Gilhooly (Eds.), Advances in the psychology of thinking (Vol. 1, pp. 1–44). London: Harvester-Wheatsheaf.
Perkins, D. N. (1981). The mind’s best work. Cambridge, MA: Harvard University Press.
Raven, J., Raven, J. C., & Court, J. H. (2003). Manual for Raven’s Progressive Matrices and Vocabulary scales: Section 1. General overview. San Antonio: Harcourt Assessment.
Ricks, T. R., Turley-Ames, K. J., & Wiley, J. (2007). Effects of working memory capacity on mental set due to domain knowledge. Memory & Cognition, 35, 1456–1462.
Scheerer, M. (1963). Problem solving. Scientific American, 208, 118–128.
Shallice, T. (1982). Specific impairments of planning. Philosophical Transactions of the Royal Society B, 298, 199–209.
Unsworth, N., Heitz, R. P., Schrock, J. C., & Engle, R. W. (2005). An automated version of the operation span task. Behavior Research Methods, 37, 498–505.
Weisberg, R. W. (1995). Prolegomena to theories of insight in problem solving: A taxonomy of problems. In R. J. Sternberg & J. E. Davidson (Eds.), The nature of insight (pp. 157–196). Cambridge, MA: MIT Press.
Weisberg, R. W. (2006). Creativity: Understanding innovation in problem solving, science, invention, and the arts. Hoboken, NJ: Wiley.
Weisberg, R. W., & Alba, J. W. (1981). An examination of the alleged role of “fixation” in the solution of several “insight” problems. Journal of Experimental Psychology: General, 110, 169–192.
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Chein, J.M., Weisberg, R.W., Streeter, N.L. et al. Working memory and insight in the nine-dot problem. Memory & Cognition 38, 883–892 (2010). https://doi.org/10.3758/MC.38.7.883
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DOI: https://doi.org/10.3758/MC.38.7.883