Torre Kjerstin, Wagenmakers Eric-Jan
University Montpellier 1, EA 2991, Motor Efficiency and Deficiency, 700 Avenue du Pic Saint Loup, Montpellier 34090, France.
Hum Mov Sci. 2009 Jun;28(3):297-318. doi: 10.1016/j.humov.2009.01.001. Epub 2009 Apr 28.
Human motor behavior is often characterized by long-range, slowly decaying serial correlations or 1/f(beta) noise. Despite its prevalence, the role of the 1/f(beta) phenomenon in human movement research has been rather modest and unclear. The goal of this paper is to outline a research agenda in which the study of 1/f(beta) noise can contribute to scientific progress. In the first section of this article we discuss two popular perspectives on 1/f(beta) noise: the nomothetic perspective that seeks general explanations, and the mechanistic perspective that seeks domain-specific models. We believe that if 1/f(beta) noise is to have an impact on the field of movement science, researchers should develop and test domain-specific mechanistic models of human motor behavior. In the second section we illustrate our claim by showing how a mechanistic model of 1/f(beta) noise can be successfully integrated with currently established models for rhythmic self-paced, synchronized, and bimanual tapping. This model synthesis results in a unified account of the observed long-range serial correlations across a range of different tasks.
人类运动行为通常具有长程、缓慢衰减的序列相关性或1/f（β）噪声的特征。尽管其普遍存在，但1/f（β）现象在人类运动研究中的作用一直相当有限且不明确。本文的目的是概述一个研究议程，其中对1/f（β）噪声的研究可以推动科学进步。在本文的第一部分，我们讨论了关于1/f（β）噪声的两种流行观点：寻求一般解释的规范观点和寻求特定领域模型的机制观点。我们认为，如果1/f（β）噪声要对运动科学领域产生影响，研究人员应该开发并测试人类运动行为的特定领域机制模型。在第二部分，我们通过展示1/f（β）噪声的机制模型如何能够成功地与当前已建立的节奏自定步速、同步和双手敲击模型相结合，来说明我们的观点。这种模型综合为一系列不同任务中观察到的长程序列相关性提供了统一的解释。
