Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/99146
Title: Schizotypy, Alexithymia and Affect as predictors of Facial Emotion Recognition Capability using static and dynamic images
Author: Rus-Calafell, M.
Gutiérrez Maldonado, José
Frerich, N.
Keywords: Alexitímia
Afectivitat
Esquizofrènia
Realitat virtual
Alexithymia
Affect (Psychology)
Schizophrenia
Virtual reality
Issue Date: 2013
Publisher: Universitat de Barcelona
Abstract: The main purpose of the present study is to investigate the capacity of schizotypy and alexithymia traits, in combination with affectivity to predict facial emotion recognition capability in a sample of nonclinical adults. Consecutive healthy participants (N= 98) were investigated using the Toronto Alexithymia Scale-20 (TAS-20), the Oxford-Liverpool Inventory of Feelings and Experiences-Reduced Version (O-LIFE-R), and the Positive and NA Schedule (PANAS). A set of validated photographs (static images) and virtual faces (dynamic images) for presenting the basic emotions was used to assess emotion recognition. Pearson correlations were applied to investigate the relationship between the study variables; the amount of variance in emotion recognition capability predicted by OLIFE-R, TAS-20 and PANAS was calculated by using the linear regression model. Results showed that alexithymia was strongly associated with schizotypy and NA; furthermore, alexithymia and NA made a significant contribution to the prediction of emotion recognition capability. The predictive model was fitted for two types of presentations (photographs and virtual reality). The inclusion of virtual faces emerges as a response to the need to consider computer characters as new assessment and treatment material for research and therapy in psychology
Note: Reproducció del document publicat a: http://revistes.ub.edu/index.php/Anuario-psicologia/article/download/8192/10120
It is part of: Anuario de Psicología, 2013, vol. 43, num. 1, p. 7-21
URI: http://hdl.handle.net/2445/99146
ISSN: 0066-5126
Appears in Collections:Articles publicats en revistes (Psicologia Clínica i Psicobiologia)

Files in This Item:
File Description SizeFormat 
638992.pdf1.04 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.