Sentences with phrase «emotion recognition test»

Participants of both groups completed a facial emotion recognition test before and after the manipulation.

(H) Change in the ability to recognise others» emotions in the face, voice and body as measured by the Geneva Emotion Recognition Test (GERT and GERT - S).

Introducing a short version of the Geneva Emotion Recognition Test (GERT - S): psychometric properties and construct validation

After 1 to 2 hours, each participant was then subject to a series of biochemical tests, as well as the facial emotion recognition test to measure response to a series of basic emotions, such as fear, anger, disgust, sadness, and happiness.

These emotionally in - tune workers also had significantly higher income than those who received a low score on the study's emotion recognition test.

Those who passed the emotion recognition test with flying colors «are considered more socially and politically skilled than others by their colleagues.

Not exact matches

«There was a clear pattern in the findings - the more literary fiction authors that participants recognized, the better they tended to perform on the emotional recognition test, and this association held even after statistically accounting for the influence of other factors that might be connected to both emotion skills and reading more literary fiction, such as past educational attainment, gender and age,» reports the British Psychological Society Research Digest blog, summing up the results.

Researchers first put participants in a good or bad mood by having them take a test on facial emotion recognition.

Dutch researchers are using experimental emotion - recognition software to test individuals» reactions to advertisements and marketing.

Indeed by taking the three stands of the approach and applying the recognitions by honoring, installing positive emotion and building «inner wealth» in the form of character strengths and values, we get rule compliance, increased test scores, reduced challenging behavior but above all, we build relationships that percolate positivity.

Measures utilized include the Recognition of Emotion Concepts subtest from the Kusche Emotional Inventory (KEI), the Assessment of Children's Emotions Scales (ACES), the Denham Puppet Interview (DPI), the Day / Night task, Luria's tapping test, the Attention Sustained subtest from the Leiter - Revised Assessment Battery, the Challenging Situations Task (CST), Teacher - Report of Child: Preschool and Kindergarten Behavior Scales (PKBS), Parent - Report of Child: Head Start Competence Scale (HSCS), and the Peabody Picture Vocabulary Test - Third Edition (PPVT - Itest, the Attention Sustained subtest from the Leiter - Revised Assessment Battery, the Challenging Situations Task (CST), Teacher - Report of Child: Preschool and Kindergarten Behavior Scales (PKBS), Parent - Report of Child: Head Start Competence Scale (HSCS), and the Peabody Picture Vocabulary Test - Third Edition (PPVT - ITest - Third Edition (PPVT - III).

For emotion recognition, participants» performance accuracy was compared for each emotion separately using non-parametric statistical tests because the data were not normally distributed and could not be transformed to a normal distribution.

In order to establish the validity of the EA task, we tested for associations between the measures of interest (EA, emotion recognition, and affective empathy) and total IRI scores, as well as the perspective - taking, fantasy, empathic concern, and personal distress subscales.

In an attempt to address this issue, we also treated CU traits as a dimensional measure by testing for correlations between CU traits and EA, emotion recognition, and affective empathy within the CD group.

We also examined for effects of CU traits using a dimensional approach by testing for correlations between CU traits and EA, emotion recognition, and affective empathy (using either parametric or non-parametric bivariate correlations, as appropriate).