音乐阅读对听觉和弦辨别的影响:一个无关启动意义无意识加工的新实验平台

Marie-Luise Augsten, S. J. Eder, Christian Büsel, Christian Valuch, U. Ansorge
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引用次数: 0

摘要

无意识加工是否涉及更高层次的语义表征是一个广泛关注的问题。在这里,我们展示了任务相关和任务无关的无意识启动特征的语义处理在一个新的,经验的测试床。在两个实验中,音乐家们在视觉上看到了在调式(即大调与小调)和位置(即音符在三和弦中的排列)上变化的音符三和弦。这项任务只要求辨别下列听觉目标和弦的调式。在两个实验块中,启动词分别被有意识地看到或被掩盖。测量了所听三和弦调式(相关维度)的听觉辨别反应时间。至关重要的是,目标在模式和位置方面也有所不同,与视觉启动产生了不同程度的一致性。基于事件编码理论,我们预测并发现了掩蔽启动的相关和不相关语义特征之间的相互作用,说明即使是不相关的启动意义也会被处理。此外,我们的研究结果表明,任务相关和任务无关启动特征仅在无意识条件下被加工,并且忽略非信息性有意识启动的做法可以转移到后续块。总之,这项研究展示了跨模态的自动语义处理使用一种新的方法来研究这种影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influences of Music Reading on Auditory Chord Discrimination: A Novel Test Bed for Nonconscious Processing of Irrelevant Prime Meaning
Abstract The question whether nonconscious processing could involve higher-level, semantic representations is of broad interest. Here, we demonstrate semantic processing of task-relevant and task-irrelevant features of nonconscious primes within a novel, empirical test bed. In two experiments, musicians were visually primed with musical note triads varying in mode (i.e., major vs minor) and position (i.e., the arrangement of notes within a triad). The task required to discriminate only the mode in the following auditory target chord. In two experimental blocks, primes were either consciously visible or masked, respectively. Response times for auditory discrimination of the modes (relevant dimension) of heard triads were measured. Crucially, the targets also varied with respect to mode and position, creating different grades of congruency with the visual primes. Based on the Theory of Event Coding, we expected and found interactions between relevant and irrelevant semantic characteristics of masked primes, illustrating that even irrelevant prime meaning was processed. Moreover, our results indicated that both task-relevant and task-irrelevant prime characteristics are processed in nonconscious conditions only, and that practice in ignoring uninformative conscious primes can be transferred to a subsequent block. In conclusion, this study demonstrates cross-modal, automatic semantic processing using a novel approach to study such effects.
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