Global Research Institute for Mobility in Society Institutes of Innovation for Future Society, Nagiya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
Graduate School of Informatics, Nagiya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
Mem Cognit. 2024 Jan;52(1):115-131. doi: 10.3758/s13421-023-01448-w. Epub 2023 Aug 9.
Why do humans attempt to discover better alternatives to solve a problem even when they know the way to solve it? This question is related to the flexibility of thinking and is the subject of studies on the Einstellung effect. This study focuses on cognitive load for familiar trained procedure as a factor that influences the discovery of alternatives in Einstellung situations, where the problem can be solved using a trained procedure. Many studies on creative problem solving and strategy selection demonstrate that cognitive load for facilitates the discovery of alternatives. However, findings are inconsistent regarding Einstellung situations. We argue that the reason for such inconsistent results were the use of manipulations such as the double task, which both load on the trained and alternative procedure and the lack of perspective on efficiency in analysis. Therefore, we examine the relationship between cognitive load manipulated by the complexity of the trained procedure and time-based performance measured by the number of trials prior to finding alternatives. The results illustrate that higher cognitive load increased the efficiency of discovery of alternatives and that this effect was significant for participants with high working memory capacity. This study provides empirical evidence that high cognitive load for trained procedure facilitates the discovery of alternatives and suggests the importance of considering temporal properties, such as efficiency, when examining the effects of working memory on problem solving, which requires cognitive flexibility.
为什么人类即使知道解决问题的方法,仍会试图寻找更好的方法?这个问题与思维的灵活性有关,也是对“定势效应”进行研究的主题。本研究专注于认知负荷对熟悉的训练程序的影响,因为认知负荷是影响定势情境下发现替代方案的一个因素,在这种情境下,可以使用训练过的程序来解决问题。许多关于创造性问题解决和策略选择的研究表明,认知负荷对促进替代方案的发现有积极作用。然而,对于定势情境,研究结果并不一致。我们认为,造成这种不一致结果的原因在于使用了双重任务等操作,这些操作既对训练程序和替代程序产生了负荷,也缺乏对分析效率的关注。因此,我们考察了通过训练程序的复杂性来操纵认知负荷与通过发现替代方案前的尝试次数来衡量基于时间的表现之间的关系。结果表明,较高的认知负荷会提高发现替代方案的效率,而对于工作记忆容量较高的参与者,这种效果更为显著。本研究提供了经验证据,表明对训练程序的高认知负荷有助于发现替代方案,并提示在研究需要认知灵活性的问题解决时,考虑效率等时间属性的重要性。