Capturing Dynamics of Biased Attention: Are New Attention Variability Measures the Way Forward?

ABSTRACT:

Background

New indices, calculated on data from the widely used Dot Probe Task, were recently proposed to capture variability in biased attention allocation. We observed that it remains unclear which data pattern is meant to be indicative of dynamic bias and thus to be captured by these indices. Moreover, we hypothesized that the new indices are sensitive to SD differences at the response time (RT) level in the absence of bias.

Method

Randomly generated datasets were analyzed to assess properties of the Attention Bias Variability (ABV) and Trial Level Bias Score (TL-BS) indices. Sensitivity to creating differences in 1) RT standard deviation, 2) mean RT, and 3) bias magnitude were assessed. In addition, two possible definitions of dynamic attention bias were explored by crea

SUBMITTER: Kruijt AW 

PROVIDER: S-EPMC5119769 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature