Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Refine search results

Results found: 1

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  BIAS SUSCEPTIBILITY
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
Studia Psychologica
|
2023
|
vol. 65
|
issue 4
320 - 336
EN
According to a recent model of mindware automatization, the extent to which the mindware is automatized should play a crucial role in preventing cognitive biases, as it should lead to very easy detection of a conflict between a misleading intuition and the logical structure of a situation. To examine the model in the present study, mindware automatization was measured as intuitive accuracy in neutral tasks commonly used as a measure of mindware instantiation. Participants also solved two types of conflict reasoning tasks, with response time and confidence used as measures of conflict detection. The results indeed showed the relationship of mindware automatization and most of the conflict detection measures with reasoning accuracy; however, mindware automatization was not related to conflict detection measures, except in one of the detection indices. Mindware automatization also emerged as a significant predictor of reasoning accuracy but lost its predictive power when other variables were added to the model. Overall, the results provide little support for the mindware automatization model. However, whether the relationship between the measures is linear and whether conflict detection is even necessary if the mindware is automatized remain open questions.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.