Decomposing intuitive components in a conceptual problem solving task☆

Consciousness and Cognition 16 (2):294-309 (2007)
Research into intuitive problem solving has shown that objective closeness of participants’ hypotheses were closer to the accurate solution than their subjective ratings of closeness. After separating conceptually intuitive problem solving from the solutions of rational incremental tasks and of sudden insight tasks, we replicated this finding by using more precise measures in a conceptual problem-solving task. In a second study, we distinguished performance level, processing style, implicit knowledge and subjective feeling of closeness to the solution within the problem-solving task and examined the relationships of these different components with measures of intelligence and personality. Verbal intelligence correlated with performance level in problem solving, but not with processing style and implicit knowledge. Faith in intuition, openness to experience, and conscientiousness correlated with processing style, but not with implicit knowledge. These findings suggest that one needs to decompose processing style and intuitive components in problem solving to make predictions on effects of intelligence and personality measures
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DOI 10.1016/j.concog.2006.05.004
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Arthur S. Reber (1989). Implicit Learning and Tacit Knowledge. Journal of Experimental Psychology 118:219-35.
Arthur S. Reber (1967). Implicit Learning of Artificial Grammars. Journal of Verbal Learning and Verbal Behavior 6:855-863.

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