Blotenberg Iris, Stephan Denise, Koch Iring
Institute of Psychology, RWTH Aachen University, Aachen, Germany 1.
Institute of Psychology, Philipps-University Marburg, Marburg, Germany2.
Adv Cogn Psychol. 2018 Sep 30;14(3):101-111. doi: 10.5709/acp-0242-8. eCollection 2018.
The ability to learn event sequences is crucial to human behavior because it enables us to interact adaptively with our environment. The sensory environment is essential in guiding the acquisition of these sequences, so the role of the stimulus modality in sequence learning is of high relevance. The present study examined structured stimulus modality shifts in sequence learning using the serial reaction time task (SRT). Participants had to respond to numbers that were presented either in the visual or in the auditory modality. Importantly, the numbers, as well as the stimulus modality, followed a fixed pattern. We found better performance in sequenced than in random blocks, indicating sequence learning. Moreover, the performance was better when the stimulus modality remained the same than when the modality changed between successive trials (the modality shift effect, MSE). However, sequence learning facilitated performance primarily in modality repetitions, so that the MSE became progressively larger in the sequenced blocks, while it was small in the random blocks, and this pattern was particularly pronounced for the participants who showed a high recall level for the response sequence. To account for this effect, we assume that consistent modality shifts induce parsing of the sequence into chunks. Because chunk retrieval at chunk boundaries incurs RT costs, the acquired sequence knowledge is more efficiently expressed in modality repetitions (i.e., within chunks). Together, the data suggest that the formation of explicit knowledge enhances chunking in sequence learning.
学习事件序列的能力对人类行为至关重要,因为它使我们能够与环境进行适应性互动。感觉环境在引导这些序列的习得过程中至关重要,因此刺激模态在序列学习中的作用具有高度相关性。本研究使用序列反应时任务(SRT)来考察序列学习中结构化的刺激模态转换。参与者必须对以视觉或听觉模态呈现的数字做出反应。重要的是,数字以及刺激模态都遵循固定模式。我们发现,在有序列的组块中比在随机组块中的表现更好,这表明存在序列学习。此外,当刺激模态保持不变时的表现比在连续试验中模态发生变化时更好(模态转换效应,MSE)。然而,序列学习主要在模态重复中促进了表现,因此在有序列的组块中MSE逐渐变大,而在随机组块中则较小,并且这种模式对于对反应序列具有高回忆水平的参与者尤为明显。为了解释这种效应,我们假设一致的模态转换会促使将序列解析为组块。由于在组块边界处检索组块会产生反应时成本,所以习得的序列知识在模态重复中(即在组块内)能更有效地表达。总体而言,数据表明明确知识的形成会增强序列学习中的组块化。