/vierordt

Primary LanguageMATLAB

The origin of Vierordt's law

Stefan Glasauer, Zhuanghua Shi

Abstract

In 1868, Karl Vierordt discovered one type of errors in time perception?an overestimation of short duration and underestima-tion of long durations, known as Vierordt?s law. Here we reviewed the original study in its historical context and asked whether Vierordt?slaw is a result of an unnatural experimental randomization protocol. Using iterative Bayesian updating, we simulated the original resultswith 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 (randomand random walk) with the same sampled distribution. The results showed that trial-wise variation influenced the magnitude of Vierordt?slaw. We concluded that Vierordt?s law is caused by an unnatural yet widely used experimental protocol

Experimental data and code

  1. rep_randwalk.mat - experimental data of duration reproduction.
  2. data_fit_paper.m - simulate and fit the experimental data
  3. fitdata1pv.m and kmodel1pv.m - optimization functions

Citation

Glasauer, S., & Shi, Z. (2021). The origin of Vierordt?s law: The experimental protocol matters. PsyCh Journal, pchj.464. https://doi.org/10.1002/pchj.464