Literature DB >> 27664348

Perceptual Learning of Facial Expressions.

Yangyang Du1, Fan Zhang1, Yongchao Wang1, Taiyong Bi2, Jiang Qiu3.   

Abstract

Perceptual learning is a phenomenon in which intensive training for a perceptual task may lead to significant improvement in the task performance. So far, the characteristics of the perceptual learning of facial expressions have not been investigated. In the current study, we trained subjects to distinguish facial expressions. With eight days of training, the subjects' discrimination performance improved significantly, and this improvement was generalized to faces with the same expression but different gender as the trained face. In the second experiment, we further examined the transfer of the learning effect between faces with different expression intensities. We found that the learning effect of happiness can be transferred from the high-intensity face to the low-intensity face, but the reverse was not true. Importantly, in all experiments, we measured the performance immediately after training and one month after training. The results showed that all learning effects and transfers were able to persist for at least one month, which implied that these findings revealed the long-term mechanisms of training. These results revealed the characteristics of facial expression learning and shed light on the mechanisms of perceptual learning for high-level vision.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Facial expression; Perceptual learning; Specificity; Transfer

Mesh:

Year:  2016        PMID: 27664348     DOI: 10.1016/j.visres.2016.08.005

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  8 in total

Review 1.  Impaired Face Perception in Individuals with Autism Spectrum Disorder: Insights on Diagnosis and Treatment.

Authors:  Taiyong Bi; Fang Fang
Journal:  Neurosci Bull       Date:  2017-11-09       Impact factor: 5.203

2.  Top-down modulation of sensory cortex gates perceptual learning.

Authors:  Melissa L Caras; Dan H Sanes
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-28       Impact factor: 11.205

3.  Efficient recognition of facial expressions does not require motor simulation.

Authors:  Gilles Vannuscorps; Michael Andres; Alfonso Caramazza
Journal:  Elife       Date:  2020-05-04       Impact factor: 8.140

4.  The Effect of Visual Working Memory Training Could Transfer Across Stimuli.

Authors:  Taiyong Bi; Xiaogang Wang; Hui Kou; Jiang Qiu
Journal:  Psychol Res Behav Manag       Date:  2020-01-10

5.  Emerged human-like facial expression representation in a deep convolutional neural network.

Authors:  Liqin Zhou; Anmin Yang; Ming Meng; Ke Zhou
Journal:  Sci Adv       Date:  2022-03-23       Impact factor: 14.136

6.  Degenerate pathway for processing smile and other emotional expressions in congenital facial palsy: an hdEEG investigation.

Authors:  Paola Sessa; Arianna Schiano Lomoriello; Gian Marco Duma; Giovanni Mento; Elisa De Stefani; Pier Francesco Ferrari
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-09-21       Impact factor: 6.671

Review 7.  The development of human visual cortex and clinical implications.

Authors:  Caitlin R Siu; Kathryn M Murphy
Journal:  Eye Brain       Date:  2018-04-24

8.  A Multisensor Data Fusion Approach for Predicting Consumer Acceptance of Food Products.

Authors:  Víctor M Álvarez-Pato; Claudia N Sánchez; Julieta Domínguez-Soberanes; David E Méndoza-Pérez; Ramiro Velázquez
Journal:  Foods       Date:  2020-06-11
  8 in total

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