Aarhus Institute of Advanced Studies, Aarhus University.
Center for Music in the Brain, Aarhus University.
Psychol Sci. 2021 Sep;32(9):1416-1425. doi: 10.1177/0956797621997349. Epub 2021 Aug 19.
Anticipating the future is essential for efficient perception and action planning. Yet the role of anticipation in event segmentation is understudied because empirical research has focused on retrospective cues such as surprise. We address this concern in the context of perception of musical-phrase boundaries. A computational model of cognitive sequence processing was used to control the information-dynamic properties of tone sequences. In an implicit, self-paced listening task ( = 38), undergraduates dwelled longer on tones generating high entropy (i.e., high uncertainty) than on those generating low entropy (i.e., low uncertainty). Similarly, sequences that ended on tones generating high entropy were rated as sounding more complete ( = 31 undergraduates). These entropy effects were independent of both the surprise (i.e., information content) and phrase position of target tones in the original musical stimuli. Our results indicate that events generating high entropy prospectively contribute to segmentation processes in auditory sequence perception, independently of the properties of the subsequent event.
预测未来对于高效的感知和动作规划至关重要。然而,由于实证研究集中于回溯线索(如惊讶),因此预测在事件分割中的作用仍未得到充分研究。我们在感知音乐乐句边界的背景下解决了这一问题。使用认知序列处理的计算模型来控制音调序列的信息动力学特性。在一个隐式、自我调节的听力任务中(=38),大学生在产生高熵(即高不确定性)的音上停留的时间比产生低熵(即低不确定性)的音更长。同样,以产生高熵的音结束的序列被评为听起来更完整(=31 名大学生)。这些熵效应与目标音在原始音乐刺激中的惊讶(即信息量)和乐句位置无关。我们的结果表明,产生高熵的事件会对听觉序列感知中的分割过程产生前瞻性贡献,而与后续事件的属性无关。