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瞳孔大小是洞察力、分析能力和/或不确定性的指标吗?一项关于问题解决的扩展重复研究,以考虑综合策略、时间安排和准确性。

Is pupil size an index of insight, analysis, and/or uncertainty? An extended replication study of problem-solving to take account of combined strategies, timing and accuracy.

作者信息

Mansell Warren, Wellsted Natalie, Marinovic Welber

机构信息

School of Population Health, Curtin University, Perth, Australia.

School of Population Health, Curtin University, Perth, Australia.

出版信息

Biol Psychol. 2025 Mar;196:109023. doi: 10.1016/j.biopsycho.2025.109023. Epub 2025 Apr 1.

Abstract

Research indicates that greater pupil dilation distinguishes insight from analytic problem solving, but it remains unclear how time-to-solution and the potential use of combined strategies influence this finding. To address this, we asked participants in the current study to categorise each trial as one of three strategies, and we examined the interaction between strategy type, accuracy and time-to-solution to predict pupil dilation. English-speaking students (n = 38) were asked to solve 120 compound word association problems, while pupil dilation was recorded. Subsequently, participants were asked to report which of the three problem-solving strategies (analytic, insight, combined) they had used to find each solution, without being if their answers were correct. A Bayesian linear mixed model analysis revealed an interaction between time-to-solution and strategy. More specifically, pupil dilation indexed an insight strategy for early solutions, but indicated an analytic strategy for late solutions, with combined strategies falling in between. In addition, correct trials were associated with greater pupil dilation. We conclude that, even within the same task, pupil dilation may separately indicate (1) the extended mental effort of problem analysis, (2) the immediate onset of insight, and (3) the feeling of uncertainty experienced when a correct answer is unvalidated by feedback. Future research should rule out other explanations such as whether pupil dilation is an index of change in affect, and test hypothetical closed-loop models of problem-solving directly through individualised model fitting.

摘要

研究表明,更大的瞳孔扩张将顿悟式问题解决与分析式问题解决区分开来,但目前尚不清楚解决问题的时间以及联合策略的潜在使用如何影响这一发现。为了解决这个问题,我们要求本研究中的参与者将每个试验归类为三种策略之一,并研究策略类型、准确性和解决问题时间之间的相互作用,以预测瞳孔扩张。我们让38名说英语的学生解决120个复合词联想问题,同时记录他们的瞳孔扩张情况。随后,参与者被要求报告他们用来找到每个解决方案的三种解决问题策略(分析式、顿悟式、联合式)中的哪一种,而不被告知他们的答案是否正确。贝叶斯线性混合模型分析揭示了解决问题时间和策略之间的相互作用。更具体地说,瞳孔扩张在早期解决方案中表明采用了顿悟策略,但在后期解决方案中表明采用了分析策略,联合策略则介于两者之间。此外,正确的试验与更大的瞳孔扩张有关。我们得出结论,即使在同一任务中,瞳孔扩张也可能分别表明:(1)问题分析中延长的脑力投入;(2)顿悟的即刻产生;(3)当正确答案未被反馈证实时所体验到的不确定感。未来的研究应该排除其他解释,比如瞳孔扩张是否是情感变化的指标,并通过个性化模型拟合直接测试假设的问题解决闭环模型。

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