Research on implicit sequence learning with the Serial Reaction Task (SRT) has demonstrated that people automatically acquire knowledge about fixed repeating sequences of responses and can transfer response sequence knowledge to novel stimuli. Such demonstrations are, however, mostly limited to setups with visual stimuli and manual responses. Here we systematically follow up on scarce attempts to demonstrate implicit sequence learning in word reading. While the literature on implicit sequence learning can be taken to suggest that sequence knowledge is acquired and affecting performance in word reading, we show that neither is the case in a series of four experiments. Sequence knowledge was acquired and affecting performance in color naming but not in word reading. On the one hand, we observed slowing of voice-onset times in off-sequence as compared to regularly sequenced trials when people named the color of a centrally presented disk. Yet, hardly any effect was observed when the very same sequence of words was verbalized in word reading instead. Transfer of sequence knowledge to and from color naming was not observed, either. This contrasts with sequence learning studies with manual responses, which have been taken to suggest that a fixed and repeating sequence of responses is sufficient for learning to occur even in fast choice reaction tasks and to transfer across stimuli as long as the sequence of responses remains intact. Rather, in line with dimensional action accounts of task performance, the results underline the role of translation between processing streams for implicit sequence learning.

中文翻译：

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朗读时缺乏自动声乐反应学习功能。

通过串行反应任务（SRT）进行的隐式序列学习研究表明，人们可以自动获取有关固定的重复响应序列的知识，并且可以将响应序列知识转移到新的刺激中。但是，此类演示大多仅限于具有视觉刺激和手动响应的设置。在这里，我们系统地跟进了一些尝试来证明单词阅读中隐式序列学习的尝试。虽然可以采用有关隐式序列学习的文献来暗示已获得序列知识并影响单词阅读的性能，但我们证明在一系列四个实验中都没有这种情况。获得了序列知识，并且影响了颜色命名但不影响单词阅读的性能。一方面，当人们命名集中显示的圆盘的颜色时，我们发现与常规排序的试验相比，非顺序语音的起音时间变慢。然而，当在单词阅读中口头表达相同的单词序列时，几乎没有观察到任何效果。也没有观察到序列知识与颜色命名之间的转移。这与具有手动响应的序列学习研究相反，后者被认为表明，固定的和重复的响应序列足以使学习即使在快速选择的反应任务中也能发生，并且只要响应序列保持完整就可以跨刺激转移。而是，根据任务性能的维度动作说明，结果强调了在处理流之间进行转换以进行隐式序列学习的作用。