Looking the part (to me): effects of racial prototypicality on race perception vary by prejudice
Sign Up to like & getrecommendations! Published in 2017 at "Social Cognitive and Affective Neuroscience"
DOI: 10.1093/scan/nsw177
Abstract: Abstract Less racially prototypic faces elicit more category competition during race categorization. Top-down factors (e.g. stereotypes), however, affect categorizations, suggesting racial prototypicality may enhance category competition in certain perceivers. Here, we examined how prejudice affects… read more here.
Keywords: race; category competition; prototypicality; racial prototypicality ... See more keywords
Prototypicality analysis of the Comprehensive Assessment of Psychopathic Personality (CAPP): A cross-cultural perspective.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of forensic sciences"
DOI: 10.1111/1556-4029.15268
Abstract: The Comprehensive Assessment of Psychopathic Personality (CAPP) model is a new lexically based concept of psychopathy that has potential clinical utility. The main purpose of this research is to investigate the generalizability of the CAPP… read more here.
Keywords: comprehensive assessment; capp; psychopathic personality; prototypicality ... See more keywords
Training machine learning algorithms for automatic facial coding: The role of emotional facial expressions’ prototypicality
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0281309
Abstract: Automatic facial coding (AFC) is a promising new research tool to efficiently analyze emotional facial expressions. AFC is based on machine learning procedures to infer emotion categorization from facial movements (i.e., Action Units). State-of-the-art AFC… read more here.
Keywords: facial expressions; prototypicality; machine learning; emotional facial ... See more keywords
App Designs and Interactive Features to Increase mHealth Adoption: User Expectation Survey and Experiment.
Sign Up to like & getrecommendations! Published in 2021 at "JMIR mHealth and uHealth"
DOI: 10.2196/29815
Abstract: BACKGROUND Despite the ubiquity of smartphones, there is little guidance for how to design mobile health apps to increase use. Specifically, knowing what features users expect, grab their attention, encourage use (via predicted use or… read more here.
Keywords: use; mhealth; app; predicted use ... See more keywords