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Chunking in tonal contexts: Information compression during serial recall of visually presented musical notes
Psychology of Music ( IF 1.712 ) Pub Date : 2021-06-04 , DOI: 10.1177/03057356211013396
Lucas Lörch

Chunking is defined as information compression by means of encoding meaningful units. To advance the understanding of chunking in musical memory, the present study tested characteristics of melodic sequences that might enable a parsimonious memory representation, namely, the presence of a clear tonal context and of melodic cells with clear labels. Musical note symbols, which formed either triads (Experiment 1) or cadences (Experiment 2), were presented visually and sequentially to musically experienced participants for immediate serial recall. The melodic sequences were varied on the within-participant factors list length (long vs. short list) and tonal structure (chunking-supportive vs. chunking-obstructive). Chunking-supportive sequences contained tones from a single diatonic key that formed melodic cells with a clear label, such as “C major triad”. Transitional errors showed that participants grouped notes into melodic cells. Mixed logistic regression modeling revealed that recall was more accurate in chunking-supportive sequences and that this advantage was more pronounced for more experienced participants in the long list length condition of Experiment 2. The findings suggest that a clear tonal context and melodic cells with clear labels benefit chunking in melodic processing, but that the subtleties of the process are additionally influenced by type, size, and number of melodic cells.



中文翻译:

在音调上下文中分块:连续回忆视觉呈现的音符期间的信息压缩

分块被定义为通过对有意义的单元进行编码来压缩信息。为了促进对音乐记忆中组块的理解,本研究测试了旋律序列的特征,这些特征可能能够实现简约的记忆表征,即存在清晰的音调背景和带有清晰标签的旋律细胞。形成三和弦(实验 1)或节奏(实验 2)的音符符号以视觉和顺序呈现给有音乐经验的参与者,以便立即进行连续回忆。旋律序列在参与者内部因素列表长度(长列表与短列表)和音调结构(组块支持与组块阻塞)上有所不同。支持分块的序列包含来自单个全音调的音调,形成带有清晰标签的旋律单元,如“C大调三和弦”。过渡错误表明参与者将音符分组到旋律单元中。混合逻辑回归模型显示,在支持组块的序列中,回忆更准确,并且在实验 2 的长列表长度条件下,这种优势对于更有经验的参与者更为明显。 研究结果表明,清晰的音调背景和带有清晰标签的旋律单元有利于旋律处理中的分块,但该过程的微妙之处还受到旋律单元的类型、大小和数量的影响。

更新日期:2021-06-05
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