Computational Neuroscience, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany.
General and Experimental Psychology, Ludwig-Maximilians-Universität Munich, Munich, Germany.
Psych J. 2021 Oct;10(5):732-741. doi: 10.1002/pchj.464. Epub 2021 May 24.
In 1868, Karl Vierordt discovered one type of errors in time perception-an overestimation of short duration and underestimation of long durations, known as Vierordt's law. Here we reviewed the original study in its historical context and asked whether Vierordt's law is a result of an unnatural experimental randomization protocol. Using iterative Bayesian updating, we simulated the original results with high accuracy. Importantly, the model also predicted that a slowly changing random-walk sequence produces less central tendency than a random sequence with the same durations. This was validated by a duration reproduction experiment from two sequences (random and random walk) with the same sampled distribution. The results showed that trial-wise variation influenced the magnitude of Vierordt's law. We concluded that Vierordt's law is caused by an unnatural yet widely used experimental protocol.
1868 年,卡尔·维沃尔德发现了一种时间感知错误——对短时间的高估和对长时间的低估,即维沃尔德定律。在这里,我们在历史背景下回顾了原始研究,并探讨了维沃尔德定律是否是由于非自然的实验随机化协议造成的。我们使用迭代贝叶斯更新,高度准确地模拟了原始结果。重要的是,该模型还预测,与具有相同持续时间的随机序列相比,缓慢变化的随机游走序列产生的中心趋势更小。这通过具有相同采样分布的两个序列(随机和随机游走)的持续时间再现实验得到验证。结果表明,试验间的变化影响了维沃尔德定律的幅度。我们得出的结论是,维沃尔德定律是由一种不自然但广泛使用的实验方案引起的。