Kelber Paul, Ulrich Rolf, Mackenzie Ian Grant, Jeschke Martin Georg, Mittelstädt Victor
Department of Psychology, University of Tubingen.
J Exp Psychol Learn Mem Cogn. 2025 Aug 4. doi: 10.1037/xlm0001520.
Conflict tasks often yield smaller mean congruency effects when relevant (target) and irrelevant (distractor) information is mostly incongruent rather than mostly congruent. While this proportion congruency effect may reflect proactive control adaptation, only a few previous studies have provided convincing evidence for proactive control adaptation when ruling out contingency learning and reactive (item-specific) control adaptation. In this study, we present further evidence for proactive control adaptation (as reflected in proportion congruency effects and asymmetrical list-shifting effects in contingency-controlled diagnostic items) across three experiments (each = 100 participants) using manual counting Stroop tasks (Experiment 1: number words as distractors; Experiment 2: Arabic numerals as distractors; Experiment 3: number words and Arabic numerals as inducer and diagnostic items or vice versa). To better understand the processes underlying proactive control adaptation, we conducted fine-grained distributional analyses (delta functions) and model-based analyses (diffusion model for conflict tasks). These analyses suggest that proactive control adaptation in manual counting Stroop tasks mainly reflects adjustments in the strength of distractor suppression rather than in the timing of distractor suppression, the strength of target amplification, or response caution. Additional distributional and diffusion model reanalyses of the data by Spinelli and Lupker (2023, Experiments 1-3) revealed a similar pattern in vocal color Stroop tasks. In conclusion, the present study provides new evidence for proactive control adaptation in manual counting Stroop tasks and indicates that proactive control adaptation mainly reflects adjustments in the strength of distractor suppression in both manual and vocal Stroop tasks. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
当相关(目标)信息和无关(干扰)信息大多不一致而非大多一致时,冲突任务往往会产生较小的平均一致性效应。虽然这种比例一致性效应可能反映了主动控制适应,但之前只有少数研究在排除偶发学习和反应性(特定项目)控制适应的情况下,为主动控制适应提供了令人信服的证据。在本研究中,我们通过三个实验(每个实验有100名参与者),使用手动计数斯特鲁普任务(实验1:数字单词作为干扰项;实验2:阿拉伯数字作为干扰项;实验3:数字单词和阿拉伯数字作为诱导项和诊断项,或反之亦然),进一步证明了主动控制适应(如在偶发控制诊断项目中的比例一致性效应和不对称列表转移效应中所反映的)。为了更好地理解主动控制适应背后的过程,我们进行了细粒度分布分析(德尔塔函数)和基于模型的分析(冲突任务的扩散模型)。这些分析表明,手动计数斯特鲁普任务中的主动控制适应主要反映了干扰抑制强度的调整,而不是干扰抑制的时间、目标放大的强度或反应谨慎程度的调整。Spinelli和Lupker(2023年,实验1 - 3)对数据进行的额外分布分析和扩散模型重新分析显示,在语音颜色斯特鲁普任务中也有类似的模式。总之,本研究为手动计数斯特鲁普任务中的主动控制适应提供了新的证据,并表明主动控制适应主要反映了手动和语音斯特鲁普任务中干扰抑制强度的调整。(PsycInfo数据库记录(c)2025美国心理学会,保留所有权利)