Emotion recognition, emotional awareness and cognitive bias in individuals with bulimia nervosa

2008 ◽  
Vol 64 (6) ◽  
pp. 687-702 ◽  
Author(s):  
Tanja Legenbauer ◽  
Silja Vocks ◽  
Heinz Rüddel
Keyword(s):  
Bulimia Nervosa ◽  
Emotion Recognition ◽  
Cognitive Bias ◽  
Emotional Awareness

Social Cognition in Bulimia Nervosa: A Systematic Review

2011 ◽  
Vol 28 (1) ◽  
pp. 1-6 ◽  
Author(s):  
H. DeJong ◽  
F. Van den Eynde ◽  
H. Broadbent ◽  
M.D. Kenyon ◽  
A. Lavender ◽  
...  
Keyword(s):  
Social Cognition ◽  
Bulimia Nervosa ◽  
Emotional Processing ◽  
A Priori ◽  
Emotional Awareness ◽  
Future Research ◽  
Specific Test ◽  
Impaired Performance ◽  
Test Items ◽  
Social Cognitive Deficits

AbstractObjectiveClinical accounts and previous evidence suggest that socio-emotional impairments may be present in people with bulimia nervosa (BN). The aim of this paper was to systematically review studies of social cognition, and to evaluate whether social cognitive deficits exist in BN.MethodKeywords were identified using an existing model of social cognition (Green et al., 2007) [16], and used to search for relevant papers in three online databases. Records were then screened according to a priori inclusion/exclusion criteria.ResultsFive papers reporting seven social cognition tasks were identified as pertinent to the review. All involved either theory of mind ability or emotional processing skills. Participants with BN had impaired performance on the Levels of Emotional Awareness Scale and showed greater attentional bias than controls on an emotional Stroop task. There were no overall group differences for any other tasks, although there were small differences for some specific test items.ConclusionsBasic social cognition does not appear to be impaired in people with BN. Future research should make use of more complex, ecologically valid measures, and consider the relationship between task performance and everyday social functioning.

Sex differences in emotion recognition ability: The mediating role of trait emotional awareness

2017 ◽  
Vol 42 (1) ◽  
pp. 149-160 ◽  
Author(s):  
Ron Wright ◽  
Robert Riedel ◽  
Lee Sechrest ◽  
Richard D. Lane ◽  
Ryan Smith
Keyword(s):  
Sex Differences ◽  
Emotion Recognition ◽  
Emotional Awareness ◽  
Mediating Role ◽  
Recognition Ability ◽  
Emotion Recognition Ability

scholarly journals Fostering Socio-Emotional Competencies in Children with Autism using a Parent-Assisted Serious Game: A Multicenter Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Simone Kirst ◽  
Robert Diehm ◽  
Katharina Bögl ◽  
Sabine Wilde-Etzold ◽  
Christiane Bach ◽  
...  
Keyword(s):  
Emotion Regulation ◽  
Emotion Recognition ◽  
Children With Autism ◽  
Emotional Awareness ◽  
Autism Spectrum ◽  
Autism Spectrum Conditions ◽  
Randomized Controlled ◽  
Multicenter Rct ◽  
Autism Symptomatology

Objective: Serious games (SGs) are a promising means of fostering socio-emotional skills in children with autism spectrum conditions (ASC). However, alexithymia and emotional empathy have not yet been addressed adequately, and there is a lack of randomized controlled trials (RCT) to investigate skill maintenance and the transfer to functional behavior. Method: The manualized, parent-assisted SG Zirkus Empathico (ZE) was tested against an active control group, in a six-week multicenter RCT. Eighty-two children aged 5-10 years with ASC were assessed at baseline, post-treatment, and three-month follow-up. Parent-rated empathy and emotion recognition skills were defined as the primary outcomes. The secondary outcomes included measures of emotional awareness, emotion regulation, autism social symptomatology (Social Responsiveness Scale), and subjective therapy goals. Results: Training effects were observed after the intervention for empathy (d = 0.71) and emotion recognition (d = 0.50), but not at follow-up. Moderate effects on emotional awareness, emotion regulation, and autism social symptomatology were indicated by the short and mid-term assessments. Parents reported treatment goal attainment and positive training transfer. Conclusion: While a six-week training with ZE failed to induce lasting changes in empathy and emotion recognition, it may be effective for improving emotion regulation and mitigate alexithymia and general autism symptomatology.

Emotion Recognition and Expression in Young Obese Participants: Preliminary Study

2007 ◽  
Vol 105 (2) ◽  
pp. 477-482 ◽  
Author(s):  
Paola Surcinelli ◽  
Bruno Baldaro ◽  
Antonio Balsamo ◽  
Roberto Bolzani ◽  
Monia Gennari ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Emotional Awareness ◽  
Normal Weight ◽  
Emotional Expressions ◽  
Control Group ◽  
Emotional Experiences ◽  
Obese Adolescents ◽  
Expression Of Emotion ◽  
The Face ◽  
Preliminary Study

This study of the presence of alexithymic characteristics in obese adolescents and preadolescents tested the hypothesis of whether they showed impaired recognition and expression of emotion. The sample included 30 obese young participants and a control group of 30 participants of normal weight for their ages. Stimuli, 42 faces representing seven emotional expressions, were shown to participants who identified the emotion expressed in the face. The Level of Emotional Awareness Scale was adapted for children to evaluate their ability to describe their emotions. Young obese participants had significantly lower scores than control participants, but no differences were found in recognition of emotion. The lack of words to describe emotions might suggest a greater prevalence of alexithymic characteristics in the obese participants, but the hypothesis of a general deficit in the processing of emotional experiences was not supported.

scholarly journals Emotion Recognition in Face and Body Motion in Bulimia Nervosa

2017 ◽  
Vol 25 (6) ◽  
pp. 595-600 ◽  
Author(s):  
Marcela Marin Dapelo ◽  
Simon Surguladze ◽  
Robin Morris ◽  
Kate Tchanturia
Keyword(s):  
Bulimia Nervosa ◽  
Emotion Recognition ◽  
Body Motion

scholarly journals An Innovative Multi-Model Neural Network Approach for Feature Selection in Emotion Recognition Using Deep Feature Clustering

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3765 ◽  
Author(s):  
Muhammad Adeel Asghar ◽  
Muhammad Jamil Khan ◽  
Muhammad Rizwan ◽  
Raja Majid Mehmood ◽  
Sun-Hee Kim
Keyword(s):  
Neural Networks ◽  
Feature Selection ◽  
Emotion Recognition ◽  
Computational Cost ◽  
Emotional Awareness ◽  
Eeg Signal ◽  
Neural Network Approach ◽  
Feature Clustering ◽  
Training Time ◽  
Deep Feature

Emotional awareness perception is a largely growing field that allows for more natural interactions between people and machines. Electroencephalography (EEG) has emerged as a convenient way to measure and track a user’s emotional state. The non-linear characteristic of the EEG signal produces a high-dimensional feature vector resulting in high computational cost. In this paper, characteristics of multiple neural networks are combined using Deep Feature Clustering (DFC) to select high-quality attributes as opposed to traditional feature selection methods. The DFC method shortens the training time on the network by omitting unusable attributes. First, Empirical Mode Decomposition (EMD) is applied as a series of frequencies to decompose the raw EEG signal. The spatiotemporal component of the decomposed EEG signal is expressed as a two-dimensional spectrogram before the feature extraction process using Analytic Wavelet Transform (AWT). Four pre-trained Deep Neural Networks (DNN) are used to extract deep features. Dimensional reduction and feature selection are achieved utilising the differential entropy-based EEG channel selection and the DFC technique, which calculates a range of vocabularies using k-means clustering. The histogram characteristic is then determined from a series of visual vocabulary items. The classification performance of the SEED, DEAP and MAHNOB datasets combined with the capabilities of DFC show that the proposed method improves the performance of emotion recognition in short processing time and is more competitive than the latest emotion recognition methods.

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