How induced self-focus versus other-focus affect emotional recognition and verbalization

2021 ◽  
Author(s):  
Sara Konrath ◽  
Olivier Luminet
Keyword(s):  
Emotional Recognition

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.

Emotional Recognition Across the Adult Lifespan: Effects of Age, Sex, and Amygdala Subnuclei Volumes

2021 ◽  
Vol 89 (9) ◽  
pp. S112
Author(s):  
Nikolai Malykhin ◽  
Arash Aghamohammadi Sereshki ◽  
Esther Fujiwara ◽  
Fraser Olsen
Keyword(s):  
Emotional Recognition ◽  
Adult Lifespan

Patient Monitoring System using Computer Vision for Emotional Recognition and Vital Signs Detection

2020 ◽  
Author(s):  
Ahmad Anwar Zainuddin ◽  
Sakthyvell Superamaniam ◽  
Andrea Christella Andrew ◽  
Ramanand Muraleedharan ◽  
John Rakshys ◽  
...  
Keyword(s):  
Computer Vision ◽  
Monitoring System ◽  
Patient Monitoring ◽  
Vital Signs ◽  
Emotional Recognition ◽  
Patient Monitoring System

scholarly journals An Early Prediction of Parkinson’s Disease Using Facial Emotional Recognition

2021 ◽  
Vol 1937 (1) ◽  
pp. 012058
Author(s):  
U Anusri ◽  
G Dhatchayani ◽  
Y Princely Angelinal ◽  
S. Kamalraj
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Early Prediction ◽  
Emotional Recognition

Emotional recognition in depressed epilepsy patients

2009 ◽  
Vol 15 (3) ◽  
pp. 333-338 ◽  
Author(s):  
Jesse G. Brand ◽  
Leslie A. Burton ◽  
Sarah G. Schaffer ◽  
Kenneth R. Alper ◽  
Orrin Devinsky ◽  
...  
Keyword(s):  
Emotional Recognition

scholarly journals Stein and Honneth on Empathy and Emotional Recognition

Human Studies ◽  
2015 ◽  
Vol 38 (4) ◽  
pp. 567-589 ◽  
Author(s):  
James Jardine
Keyword(s):  
Emotional Recognition
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