Two sources of bias explain errors in facial age estimation.

ABSTRACT: Accurate age estimates underpin our everyday social interactions, the provision of age-restricted services and police investigations. Previous work suggests that these judgements are error-prone, but the processes giving rise to these errors are not understood. Here, we present the first systematic test of bias in age estimation using a large database of standardized passport images of heterogeneous ages (n = 3948). In three experiments, we tested a range of perceiver age groups (n = 84), and found average age estimation error to be approximately 8 years. We show that this error can be attributed to two separable sources of bias. First, and accounting for the vast majority of variance, our results show an assimilative serial dependency whereby estimates are systematically bia

SUBMITTER: Clifford CWG 

PROVIDER: S-EPMC6227935 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature