Literature DB >> 10856740

Caricaturing facial expressions.

A J Calder1, D Rowland, A W Young, I Nimmo-Smith, J Keane, D I Perrett.   

Abstract

The physical differences between facial expressions (e.g. fear) and a reference norm (e.g. a neutral expression) were altered to produce photographic-quality caricatures. In Experiment 1, participants rated caricatures of fear, happiness and sadness for their intensity of these three emotions; a second group of participants rated how 'face-like' the caricatures appeared. With increasing levels of exaggeration the caricatures were rated as more emotionally intense, but less 'face-like'. Experiment 2 demonstrated a similar relationship between emotional intensity and level of caricature for six different facial expressions. Experiments 3 and 4 compared intensity ratings of facial expression caricatures prepared relative to a selection of reference norms - a neutral expression, an average expression, or a different facial expression (e.g. anger caricatured relative to fear). Each norm produced a linear relationship between caricature and rated intensity of emotion; this finding is inconsistent with two-dimensional models of the perceptual representation of facial expression. An exemplar-based multidimensional model is proposed as an alternative account.

Entities:  

Mesh:

Year:  2000        PMID: 10856740     DOI: 10.1016/s0010-0277(00)00074-3

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  13 in total

1.  Categorical perception of facial expressions: evidence for a "category adjustment" model.

Authors:  Debi Roberson; Lubica Damjanovic; Michael Pilling
Journal:  Mem Cognit       Date:  2007-10

2.  Strategies for perceiving facial expressions in adults with autism spectrum disorder.

Authors:  Jennifer A Walsh; Mark D Vida; M D Rutherford
Journal:  J Autism Dev Disord       Date:  2014-05

3.  Foveal processing of emotion-informative facial features.

Authors:  Nazire Duran; Anthony P Atkinson
Journal:  PLoS One       Date:  2021-12-02       Impact factor: 3.240

4.  A PCA-Based Active Appearance Model for Characterising Modes of Spatiotemporal Variation in Dynamic Facial Behaviours.

Authors:  David M Watson; Alan Johnston
Journal:  Front Psychol       Date:  2022-05-26

5.  Relationship Between Gender and Performance on Emotion Perception Tasks in a Latino Population.

Authors:  Alvaro Cavieres; Rocío Maldonado; Amy Bland; Rebecca Elliott
Journal:  Int J Psychol Res (Medellin)       Date:  2021 Jan-Jun

6.  Discrete Neural Correlates for the Recognition of Negative Emotions: Insights from Frontotemporal Dementia.

Authors:  Fiona Kumfor; Muireann Irish; John R Hodges; Olivier Piguet
Journal:  PLoS One       Date:  2013-06-21       Impact factor: 3.240

7.  Validation of the Amsterdam Dynamic Facial Expression Set--Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions.

Authors:  Tanja S H Wingenbach; Chris Ashwin; Mark Brosnan
Journal:  PLoS One       Date:  2016-01-19       Impact factor: 3.240

8.  A robust method for measuring an individual's sensitivity to facial expressions.

Authors:  Louise S Delicato
Journal:  Atten Percept Psychophys       Date:  2020-08       Impact factor: 2.199

9.  The perception of caricatured emotion in voice.

Authors:  Caroline M Whiting; Sonja A Kotz; Joachim Gross; Bruno L Giordano; Pascal Belin
Journal:  Cognition       Date:  2020-05-12

10.  Caricaturing faces to improve identity recognition in low vision simulations: How effective is current-generation automatic assignment of landmark points?

Authors:  Elinor McKone; Rachel A Robbins; Xuming He; Nick Barnes
Journal:  PLoS One       Date:  2018-10-04       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.