Yankouskaya, Alla and Sui, Jie and Moradi, Zargol and Rotshtein, Pia and Humphreys, Glyn (2017) Applications of capacity analysis into social cognition domain. In: Systems Factorial Technology A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms. Elsevier, London, pp. 381-400. ISBN 978-0-12-804315-8
Full text not available from this repository. (Request a copy)Abstract
We reviewed three studies where we investigated the effects of social factors (race, in-group and self-biases) on perceptual processes using capacity analysis. Specifically, we demonstrate how the utility of processing efficiency can be used to quantify the effects of social and motivational biases (i.e., race bias, in-group bias, self-bias, and monetary reward bias,) on visual perception. Contrasting to previous studies where the capacity measures were employed with double factorial experimental design, these three studies in social biases provide a new application of the capacity framework by combining the divided attention task with a recently developed associative learning task. We found that social biases enhance integration of information by modulating perceptual processing, and the modulatory effects reflect increases in processing efficiency during information processing. We suggest that increasing processing efficiency can be sourced: (i) from learned configural properties of perceptual objects (such as facial condifuration), (ii) stronger perceptual and conceptual representations for objects associated with self or high reward, and (iii) currently-salient social categorization (e.g., team membership). Future directions in applying the capacity framework to issues in social cognition are discussed.
| Item Type: | Book Section |
|---|---|
| Keywords: | capacity processing, own-race effect, self-biases, reward-biases, in-group-biases |
| Faculty / Department: | Faculty of Human and Digital Sciences > School of Psychology |
| Depositing User: | Alla Yankouskaya |
| Date Deposited: | 17 Oct 2017 10:40 |
| Last Modified: | 17 Oct 2017 10:40 |
| URI: | https://hira.hope.ac.uk/id/eprint/2199 |
Actions (login required)
 |
View Item |
Altmetric
Altmetric
