Facial emotion recognition & theory-of-mind reasoning abilities among high-functioning school-aged children with autistic spectrum disorders

2008 ◽  
Author(s):  
Ling, Lorinda Lam
Keyword(s):  
Theory Of Mind ◽  
Emotion Recognition ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Autistic Spectrum ◽  
High Functioning ◽  
School Aged Children ◽  
Reasoning Abilities ◽  
Recognition Theory ◽  
Spectrum Disorders

Usability of a psychotherapeutic interactive gaming tool used in facial emotion recognition for people with schizophrenia (Preprint)

2019 ◽  
Author(s):  
Ingrid Tortadès ◽  
Roberto Gonzalez ◽  
Francesc Alpiste ◽  
Joaquín Fernandez ◽  
Jordi Torner ◽  
...  
Keyword(s):  
Theory Of Mind ◽  
Emotion Recognition ◽  
Attributional Style ◽  
Pilot Project ◽  
Error Rates ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Interactive Software ◽  
Emotional Recognition ◽  
Attribution Questionnaire

BACKGROUND Emotional Recognition (ER) is one of the areas most affected in people with schizophrenia. However, there are no software tools available for the assessment of ER. The interactive software program ‘Feeling Master’ (a cartoon facial recognition tool) was developed to investigate the deficit in facial emotion recognition (FER) with a sample of patients with schizophrenia in a pilot project framework. OBJECTIVE The aim of the study was to test the usability of ‘Feeling Master’ as a psychotherapeutic interactive gaming tool for the assessment of emotional recognition in people with schizophrenia compared with healthy people, and the relationship between FER, attributional style and theory of mind. METHODS Nineteen individuals with schizophrenia and 17 healthy control (HC) subjects completed the ‘Feeling Master’ including five emotions (happiness, sadness, anger, fear, and surprise). Regarding the group with schizophrenia they were evaluated with the Personal and Situational Attribution Questionnaire (IPSAQ) and the Hinting Task (Theory of Mind) to evaluate social cognition. RESULTS Patients with schizophrenia showed impairments in emotion recognition and they remained slower than the HC in the recognition of each emotion (P<.001). Regarding the impairment in the recognition of each emotion we only found a trend toward significance in error rates on fear discrimination (P=.07). And the correlations between correct response on the ‘Feeling Master’ and the hinting task showed significant values in the correlation of surprise and theory of mind (P=.046). CONCLUSIONS In conclusion, the study puts forward the usability of the ‘Feeling Master’ in FER for people with schizophrenia. These findings lend support to the notion that difficulties in emotion recognition are more prevalent in people with schizophrenia, and that these are associated with impairment in ToM, suggesting the potential utility of the FER in the rehabilitation of people with schizophrenia.

Detecting subtle facial emotion recognition deficits in high-functioning Autism using dynamic stimuli of varying intensities

2010 ◽  
Vol 48 (9) ◽  
pp. 2777-2781 ◽  
Author(s):  
Miriam J. Law Smith ◽  
Barbara Montagne ◽  
David I. Perrett ◽  
Michael Gill ◽  
Louise Gallagher
Keyword(s):  
Emotion Recognition ◽  
High Functioning Autism ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
High Functioning ◽  
Dynamic Stimuli

Theory of mind and facial emotion recognition in euthymic bipolar I and bipolar II disorders

2011 ◽  
Vol 189 (3) ◽  
pp. 379-384 ◽  
Author(s):  
Diego Javier Martino ◽  
Sergio Adrián Strejilevich ◽  
Guillermo Fassi ◽  
Eliana Marengo ◽  
Ana Igoa
Keyword(s):  
Theory Of Mind ◽  
Emotion Recognition ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Bipolar Ii

scholarly journals Usability of a psychotherapeutic interactive gaming tool used in Facial Emotion Recognition for people with Schizophrenia (Preprint)

2018 ◽  
Author(s):  
Ingrid Tortadès ◽  
Roberto Gonzalez ◽  
Francesc Alpiste ◽  
Joaquin Fernandez ◽  
Jordi Torner ◽  
...  
Keyword(s):  
Theory Of Mind ◽  
Emotion Recognition ◽  
Pilot Project ◽  
Error Rates ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Interactive Software ◽  
Attribution Questionnaire ◽  
Healthy Control ◽  
Persons With Schizophrenia

UNSTRUCTURED The interactive software “Feeling Master” (a Cartoon Facial Recognition Tool) was developed to investigate the deficit in facial emotion recognition (FER) with a sample of patients with schizophrenia in a pilot project framework. 24 persons with schizophrenia and 17 healthy control (HC) subjects completed the “Feeling Master” including five emotions (happiness, sadness, anger, fear and surprise). Regarding the group with schizophrenia they were evaluated with the Personal and Situational Attribution Questionnaire (IPSAQ) and the Hinting Task (Theory of Mind) to evaluate social cognition. Descriptive data showed suitable usability, adaptability, effectiveness and efficiency of “feeling master”. Patients with schizophrenia showed impairments in emotion recognition. The individuals with schizophrenia remained slower than the HC in the recognition of each emotion. Regarding the impairment in the recognition of each emotion we only have found significant error rates on fear discrimination (P=.07). And the correlations between correct response on the “Feeling Master” and the Hinting Task showed significant values in the correlation of surprise and Theory of Mind (P=.46). In conclusion, the study puts forward the usability of the “feeling master” in FER for people with schizophrenia. These findings lend support to the notion that difficulties in emotion recognition are more prevalent in people with schizophrenia, and those are associated with an imparment in ToM, suggesting the potential utility of the FER in the rehabilitation of people with schizophrenia.

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