Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Uncategorized

Description: Typicality asymmetry in generalization refers to the differences in generalization breadth when trained with typical or atypical exemplars. Typical exemplars are great representatives of their category, for instance, cow as a mammal, whereas atypical exemplars are less representative of their category, for instance, bat as a mammal. Preliminary evidence has shown that participants trained with typical exemplars exhibited enhanced fear generalization, whereas participants trained with atypical exemplars exhibited limited fear generalization (Dunsmoor, & Murphy, 2014; Wong, & Beckers, 2021), thus amounting to typicality asymmetry in generalization. Furthermore, research showed that high trait anxious individuals showed reduced typicality asymmetry in fear generalization. This pattern was presumably due to high threat ambiguity during training when trained with atypical exemplars. It is, however, unknown whether typicality asymmetry would be observed in safety behavior generalization, and whether this effect would be attenuated in individuals at risk of developing anxiety-related disorders. To this end, the research aim of the current study is two-fold: first, we examine whether participants trained with typical exemplars exhibit greater safety behavior generalization compared to those trained with atypical exemplars. Second, we examine whether this effect will be reduced in individuals high in trait anxiety or high in intolerance of uncertainty.

License: CC-By Attribution 4.0 International

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.