Automatic activation of the shared-digit network in the solution of complex multiplication problems.

IF 2.1 3区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL
Smadar Sapir-Yogev, Sarit Ashkenazi
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引用次数: 0

Abstract

Previous studies have shown that the associative network of single-digit multiplication problems is automatically activated, even when participants perform irrelevant tasks, and that single-digit multiplication problems automatically activate all single-digit problems sharing at least one digit with them (the shared-digit network; SDN). We examined whether the SDN would also be automatically activated when participants perform an irrelevant task. Specifically, we asked whether complex multiplication problems (e.g., 2 × 12 = ) automatically activate all single-digit problems that share digits with them. In Experiment 1, participants solved all complex problems whose solutions were less than 100. In Experiments 2 and 3, participants solved sets of complex problems that differed in SDN size and in carryover status and were matched in problem size. Participants reported the strategies they used to solve the problems. Results showed that SDN size, which reflected the number of single-digit problems sharing digits with the complex problem, predicted speed and accuracy in the solution of complex problems. Regardless of carryover status and strategy, participants solved complex problems with small SDNs more quickly than complex problems with large SDNs. Regardless of carryover status, participants used retrieval more often when solving problems with a small SDN than with a large SDN. Thus, we have demonstrated that SDN size determines speed and accuracy in the solution of complex multiplication problems, and that the SDN is automatically activated even during performance of an irrelevant task.

复杂乘法问题求解中共享数字网络的自动激活。
先前的研究表明,即使参与者执行不相关的任务,个位数乘法问题的联想网络也会自动激活,并且个位数乘法问题会自动激活与他们共享至少一个数字的所有个位数问题(共享数字网络;SDN)。我们研究了当参与者执行不相关的任务时,SDN是否也会自动激活。具体来说,我们询问复杂的乘法问题(例如,2 × 12 =)是否会自动激活与它们共享数字的所有个位数问题。在实验1中,参与者解决了所有解小于100的复杂问题。在实验2和3中,参与者解决了一组复杂的问题,这些问题在SDN大小和结转状态上不同,但在问题大小上是匹配的。参与者报告了他们用来解决问题的策略。结果表明,反映与复杂问题共享位数的个位数问题数量的SDN大小预测了复杂问题解决的速度和准确性。无论结转状态和策略如何,参与者用小sdn解决复杂问题的速度都比用大sdn解决复杂问题的速度快。无论结转状态如何,参与者在使用小型SDN解决问题时比使用大型SDN更频繁地使用检索。因此,我们已经证明,SDN的大小决定了解决复杂乘法问题的速度和准确性,并且即使在执行无关任务期间,SDN也会自动激活。
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来源期刊
Memory & Cognition
Memory & Cognition PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.40
自引率
8.30%
发文量
112
期刊介绍: Memory & Cognition covers human memory and learning, conceptual processes, psycholinguistics, problem solving, thinking, decision making, and skilled performance, including relevant work in the areas of computer simulation, information processing, mathematical psychology, developmental psychology, and experimental social psychology.
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