Testing whether humans have an accurate model of their own motor uncertainty in a speeded reaching task

摘要

The distribution of the endpoint of a speeded reaching task is typically bivariate Gaussian in form. This distribution determines the subject's probability of hitting targets of any sizes and shapes. We used staircase methods to determine whether subjects can correctly order the probability of hitting targets differing in size and shape in a speeded reaching task, testing whether they had an accurate model of their motor uncertainty.